Remote Data Engineering & Analytics Jobs

Job Title: ETL / Data Engineer (FP&A Focus) Location: Remote | Full-Time About the Role We’re looking for a Data Engineer / ETL Specialist with FP&A experience to design and manage data pipelines that integrate ERP, CRM, and financial systems into FP&A platforms like Vena. You’ll help finance teams get accurate, reliable, and analysis-ready data. Key Responsibilities Build and maintain ETL pipelines from ERP, CRM, GL, HR, APIs, and flat files. Validate, reconcile, and troubleshoot financial data for accuracy. Collaborate with consultants and client stakeholders on implementations. Document and standardize ETL processes for repeatable use. Requirements - 4+ years in ETL / data engineering. Strong SQL and relational database skills. Experience with ETL tools (SSIS, Informatica, Talend, or Vena Data Modeler). Knowledge of FP&A and financial data structures (GL, budgets, forecasts). Strong communication and problem-solving skills. Nice to Have FP&A platform experience (Vena, Anaplan, Adaptive, Pigment). ERP knowledge (NetSuite, Sage Intacct, Dynamics, Deltek, QuickBooks). Familiarity with APIs, JSON, XML, Excel integrations. Consulting / professional services background. Why This Role Work directly with finance and IT teams on impactful FP&A projects. Gain exposure to multiple industries and data environments. Be part of a fast-growing environment with ownership of client-facing work. Originally posted on Himalayas

🏢 About the Role A mission-driven performance marketing agency is hiring a Data & Analytics Manager to lead reporting, analytics strategy, and performance insights across higher education and nonprofit partners. This role is centered on transforming complex marketing and CRM data into clear, actionable insights that help teams make smarter decisions and improve campaign performance. You’ll work closely with Paid Media, Account Services, Leadership, and external partners to build dashboards, identify trends, improve reporting systems, and support strategic marketing decisions through data. This is a remote role, paid in USD, with compensation based on experience and scope. 🌍 About the Agency This agency works exclusively with universities and nonprofit organizations — partners doing work that improves communities and expands opportunity. Their mission is simple: To build a better agency for organizations building a better world. They combine sharp strategy, creative excellence, and data-driven execution to drive meaningful outcomes like enrollments, applications, inquiries, donations, and awareness. The culture is built around high ownership, strong collaboration, and continuous improvement. They care deeply about both results and relationships — internally and externally. 🛠 What You’ll Do Build and maintain dashboards and reporting systems Analyze marketing and CRM data to identify trends and opportunities Monitor campaign performance and provide actionable insights Su

We are looking for an experienced Senior Data Architect to assess an existing data landscape and define a scalable target-state architecture that can support future business growth. The role combines architecture assessment, data platform design, governance, data quality, integrations, and implementation support across cloud, on-premises, and hybrid environments. Language requirement French - C1 or higher What you'll be working on Assess the current data architecture and identify key risks, limitations, and improvement areas Define a scalable target-state data architecture Design an architecture that can support ongoing expansion through new subsidiaries Address architectural dependencies and eliminate existing single points of failure Define and improve data quality standards and data modeling practices Evaluate cloud, on-premises, and hybrid architecture options Design data warehouse and broader data platform solutions Support data governance initiatives from an architectural perspective Define and support REST API-based integrations Work with Microsoft SQL Server-based data environments Conduct the initial architecture assessment during the first project phase Support implementation and testing activities during the delivery phase Collaborate with technical and business stakeholders throughout the architecture and implementation lifecycle Requirements What we're looking for Senior-level experience in Data Architecture Fluent French at C1 level or above Strong understanding

Overview LMI is seeking a Dataverse/Data Science Lead join a multidisciplinary team supporting the Department of Homeland Security (DHS) Customs and Border Protection (CBP) Program Management Office (PMO). This role is ideal for engineers who are passionate about applying technical expertise to real-world national security challenges and advancing mission-critical capabilities through research, evaluation, and informed decision-making. This position requires U.S. citizenship and the ability to obtain a CBP Background Investigation (BI) is required; active CBP BI preferred. This position requires 20% travel that may entail remote and rugged areas. The Data Science Lead must be a hands-on technical leader who combines advanced statistical expertise, strong coding skills, and practical mission awareness. This individual will evaluate data quality, validate assumptions, select appropriate analytical methods, and tackle complex technical challenges while ensuring findings are accurate, defensible, and actionable. The role also requires strengthening team capabilities through technical mentorship, peer review, and consistent analytical standards. The ideal candidate can communicate complex findings, uncertainty, bias, and limitations clearly to technical, operational, clinical, and executive stakeholders. Responsibilities Lead the analytical strategy for complex operational, workflow, technology, and programmatic questions, ensuring analyses are aligned with customer priorities and

Tailored Brands is a leading specialty retailer of menswear, including suits, formalwear, sportswear, and a broad selection of business casual offerings. Our brands include Men's Wearhouse, Jos. A. Bank, Moores and K&G Fashion Superstore, which offers merchandise for the entire family. We help people love the way they look and feel for their most important moments by delivering personalized products and services through our convenient network of stores and e-commerce sites. About the Job We currently have an exciting opportunity for a Sr Data Analyst – Store Analytics, to join the Tailored Brands Enterprise Analytics team. The Sr Data Analyst – Store Analytics serves as a strategic analytics partner to Stores leadership and enterprise leaders, driving deeper understanding of store performance through diagnostic and exploratory analysis. This role goes beyond reporting to identify root causes of business performance, uncover opportunities, develop actionable recommendations, and influence decisions that improve sales, productivity, customer experience, and operational effectiveness. The Sr Analyst independently leads complex analyses, develops scalable analytical frameworks, partners closely with business leaders and Data Engineering, and helps shape the evolution of the Store Insights capability. What You’ll Do | Key Accountabilities Lead complex diagnostic and ad hoc analyses that identify root causes of store performance, quantify business opportunities, and guide strat

Why USAA ? At USAA , our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families. Embrace a fulfilling career at USAA , where our core values – honesty, integrity, loyalty and service – define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Data Engineer – Senior , you will be engaged in all phases of the data management lifecycle. This includes gathering and analyzing requirements, collecting, processing, storing, securing, and archiving data. Develop and maintain technical systems for data reporting and technical solutions utilizing emerging technologies. You will partner with the business to ensure data management solutions aligned to business objectives. What you will do: Leads and/or engineers the full cycle of data solutions from analysis, solution design, data pipeline engineering, testing, deployment, scheduling, and production support. Designs and implements highly-complex technical solutions for data engineering and analytic systems using new methodologies and emerging technologies. Designs, builds, manages and optimizes data pipelines for data s

This is an exciting opportunity to lead a Data Engineering & Delivery (DED) team at Natera , a global leader in precision medicine and genomics testing. As a Manager of the DED team inside our Data Science Production Engineering (DSPE) department, you will have the opportunity to work with Natera 's diverse and ultra-large data sets (up to PB size), develop innovative solutions with the latest information and cloud technologies, and make real impact by providing timely, accurate, and robust data products and data delivery/automation systems to support Natera 's Lab Operations and Genetic Counselor/Lab Director teams, and ultimately impact patients' medical outcomes. PRIMARY RESPONSIBILITIES: Leadership Lead a Data Engineering & Delivery (DED) team, collectively develop and maintain the data infrastructure, data ingestion solutions, ETL pipelines, robust data products, and data delivery solutions, for both production support and DSPE internal applications. Manage the Data Engineering & Delivery (DED) team, to achieve the timely and efficient delivery of robust data products and systems that can meet DSPE business needs and project requirements. Measure, report, and maintain/improve operational effectiveness. Train and coach team members on new technologies, procedures, and guidelines/best practices. Technical Lead the Data Engineering & Delivery (DED) team, collectively develop and maintain the data infrastructure, data ingestion solutions, ETL pipelines, robus

Key Responsibilities Assess complex Informatica workflows including sessions, mappings, and parameterizations and translate them into equivalent Python EL scripts and dbt transformation models. • Develop and maintain Python EL pipelines to land high-volume data, including billion-row tables, into the target warehouse using SQLAlchemy, cx_Oracle, pyodbc, and bulk export tools such as Oracle Data Pump and SQL Server BCP. • Design and develop dbt transformation models based on Informatica mapping logic, incorporating dbt best practices including model layering, macros, incremental strategies, and snapshot patterns. • Develop dbt-native tests as well as custom Python unit tests to validate transformation correctness and data quality. • Develop Airflow DAGs to orchestrate Python EL and dbt scripts end-to-end, producing output that is functionally equivalent to the source Informatica workflows. • Contribute to GitLab CI/CD pipeline for dbt and Airflow code, including lint gates, automated testing, and deployment to shared NAS. • Perform peer code reviews and provide constructive technical feedback to fellow engineers. • Troubleshoot performance issues and data discrepancies during SIT and UAT, including row-count reconciliation between source Oracle/SQL Server systems and the target warehouse. • Contribute to technical documentation, runbooks, and handover materials. Originally posted on Himalayas

Req ID: 387430 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a AWS ETL Data Engineer - REMOTE to join our team in Halifax, Nova Scotia (CA-NS), Canada (CA). We are seeking an experienced technical resource who could design, develop, support, and enhance enterprise data platforms while ensuring compliance with privacy and data governance requirements. The role combines data engineering, systems integration, analytics, solution design, and operational support. Day to Day Responsibilities: Design, develop, and maintain scalable data pipelines using Spark (Scala/Python), AWS Glue, AWS Lambda, and Shell scripting. Build and support ETL/ELT processes across AWS platforms, including S3, Hive, Apache Iceberg, and Amazon Redshift. Develop and maintain Redshift SQL/PLSQL code, stored procedures, and data-processing frameworks. Perform query tuning, performance optimization, and data-sharing implementations. Support ingestion and processing of structured and semi-structured data formats including JSON, CSV, XML, ORC, Parquet, and Avro. Design, enhance, and support solutions that provide a unified view of customer data across systems. Integrate multiple data sources, applications, and business processes to support reporting, analytics, and customer engagement initiatives. Collaborate with business and technical t

Kard is transforming customer loyalty with our rewards-as-a-service API platform. We empower our partners, from neobanks to financial institutions and beyond, to offer tailored rewards that celebrate customers' daily transactions. Backed by $30M from industry-leading investors and seasoned experts, we are reshaping the future of customer engagement. About the Role Note: We are currently only able to hire candidates residing in India for this fully remote position. Kard is looking for a detail-oriented, service-minded Data Support Analyst to join our Data team. This role will serve as a primary point of contact for ad-hoc data requests from Sales and other internal teams, helping stakeholders access, understand, and troubleshoot the data they need to work effectively. The Data Support Analyst will use SQL, Databricks, Count, spreadsheets, and other internal tools to investigate questions, fulfill requests, resolve basic data issues, and support routine data operations. The ideal candidate is technically capable, responsive, and comfortable translating loosely defined business questions into accurate, useful data outputs. Responsibilities: Fulfill ad-hoc data and reporting requests from Sales and other internal teams using SQL, Databricks, Count, and spreadsheets Work with stakeholders to clarify business questions, define requirements, and deliver clear, accurate answers Investigate data discrepancies, missing records, unexpected reporting results, and other basic data issues

Headquarters: Remote About Carrot: Carrot is the leading global fertility and family care platform, built on intelligent care orchestration: the right clinical guidance, at the right moment, in the context of each member’s life. More than a thousand multinational employers, health plans, and health systems trust Carrot to support millions of members across 195 countries – from pre-pregnancy through menopause and major life moments in between. Carrot's comprehensive clinical program delivers industry-leading cost savings for plan sponsors and award-winning experiences and improved outcomes for millions of people worldwide. Carrot is widely regarded as a defining force in healthcare innovation as a recipient of several top-tier awards, including Fast Company's 'Most Innovative Companies' and CNBC's '100 Barrier Breaking Startups'. The company is regularly cited by leading global outlets — including The Economist, Bloomberg, The Wall Street Journal, NPR, ABC News, and Harvard Business Review — as a leading voice on digital health, the future of work, and family health. Learn more at get-carrot.com . The Opportunity Carrot is seeking a Sr. Data Engineer to lead the evolution, reliability, and scalability of our modern data infrastructure across analytics, reporting, and business intelligence. In this role, you will architect, build, and maintain robust, automated data pipelines, orchestrate workflows, integrate diverse data sources, and partner with stakeholders across the busine

Headquarters: Remote Storyblok is a headless CMS that enables marketers and developers to create with joy and publish with confidence. It empowers you to deliver structured and consistent content everywhere: websites, apps, AI search, and beyond. Legendary brands like Virgin Media O2, Oatly, and TomTom use Storyblok to make a bigger, faster market impact. WHAT IS IN IT FOR YOU You will be joining a growing company where you can contribute to many “firsts”. Plus these benefits: Monthly remote work stipend (home internet costs, electricity). Home office equipment package right at the start (laptop, keyboard, monitor…) Home office equipment upgrade (furniture, ear plugs …) or membership to a local co-working space after your onboarding Sick leave benefit, parental leave and 25 days of annual leave plus your local national holidays Personal development fund for courses, books, conferences, and material The annual international team-building trip, quarterly and monthly online get-togethers As a fully remote company, with work-life balance at its core, you’ll enjoy flexible schedules An international team that loves to have fun at work and works hard together to accomplish shared goals JOB SUMMARY You will own the reliability, performance, and cost efficiency of the PostgreSQL data platform behind our flagship CMS — primarily Amazon Aurora PostgreSQL — along with the infrastructure and automation around it. This is a reliability engineering role, not a classic administration one. A

Headquarters: San Francisco, CA or Remote, US Our vision is to build the next generation platform to enable easy and fast creation of audio and video content powered by cutting-edge AI. Building a revolutionary way to record, transcribe, edit, and mix spoken audio and video comes with a series of unique challenges and requires solving hard and complex problems. As a lead product data scientist on the team, you will play a critical role in shaping our growth strategy, up-leveling our experimentation culture, and scaling our business. What You’ll Do Conduct in-depth analysis to shape product PLG motion and B2B strategy. Develop deep understanding of the product ecosystem and identify opportunities to drive activation, engagement, and monetization through actionable insights. Leveraging AI tools to build and maintain self-service analytics enabling stakeholders to access reliable metrics, size opportunities, design experiments, and interpret results independently. Improve execution rigor of product teams by owning success metrics and opportunity sizing. Brain buddy with product and engineering teams for day-to-day experiment design, deployment, and analysis. Provide creative solutions for tricky experimentation scenarios. Evolve experimentation culture and practices within the company. What You Bring 5–8 years of experience in a Data Scientist or similar role. 3+ years working in a growth function. Strong business and product intuition to identify opportunities in the growth eco

We are the global test and automation specialists, powering next-generation technologies through sophisticated solutions. Behind every electronic device you use, Teradyne 's test technology ensures your device works right the first time, every time! Our portfolio of automation solutions help manufacturers to develop and deliver products quickly, efficiently and cost-effectively. Together, Teradyne companies deliver manufacturing automation across industries and applications around the world! We attract, develop, and retain a high-performance workforce, comprised of people with diverse backgrounds and a shared drive for excellence. We strive to foster a positive and inclusive work environment that helps employees, and communities, thrive. Our Purpose TERADYNE, where experience meets innovation and driving excellence in every connection. We are fueled by creativity and diversity of thought and in our workforce. Our employees are supported to innovate and learn something new every day. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results. Opportunity Overview As a Senior ML / AI Engineer at Teradyne , you will design, build, and operationalize the machine learning and AI solutions that power our IT organization, and you will prepare the team—technically and operat

Software Engineer, External Integrations & Data Location: Remote Canada Employment Type: Full-time Level: Senior Software Engineer About the company Our Series A client is transforming the building supply industry through innovative technology. Their integrated commerce platform enables independent building suppliers to streamline operations, enhance customer service, and deliver exceptional digital buying experiences. By connecting sales, accounts receivable, operations, and customer engagement into one seamless solution, they help their customers operate more efficiently and drive growth. Their team is made up of curious, entrepreneurial problem-solvers who thrive in a fast-paced environment. They value innovation, collaboration, and ownership, with a shared focus on building practical solutions that create meaningful impact for their customers and the industry as a whole. About the Role We’re looking for a resourceful Software Engineer who thrives on solving problems where the path forward isn’t always obvious. You’ll work on building systems that interact with external platforms, services, and data sources — particularly in situations where official APIs are limited, unavailable, or insufficient for the job. This role is ideal for an engineer with experience in web scraping, reverse engineering, or building integrations with third-party systems that weren’t necessarily designed to be integrated with. You’ll help us connect to external sources, extract and normalize me

We're looking for a remote Business Intelligence Analyst & Data Engineer for our client in Ireland, who can operate across the full data lifecycle — from building and maintaining reliable data pipelines to designing dashboards and reports that drive business decisions. This role sits at the intersection of data infrastructure and analytics: you'll own how data flows into our systems and how it's ultimately consumed by stakeholders across the organization. This is a great fit for someone who enjoys both the technical rigor of data engineering and the storytelling/analytical side of BI work, and who wants ownership over an end-to-end data product rather than sitting in just one lane. AI-driven analytics is a growing part of our roadmap, so we're especially interested in candidates who are curious about applying AI/LLM tools to make data more accessible and self-service across the business. Key Responsibilities Data Engineering Design, build, and maintain ETL/ELT pipelines that integrate data from multiple source systems (CRM, ERP, project management tools, spreadsheets, APIs) into centralized data warehouses or data marts Ensure data quality, consistency, and integrity across pipelines through validation, testing, and monitoring Optimize data models (star/snowflake schemas) for reporting performance Automate manual data processes and reduce reliance on ad hoc spreadsheet work Manage data source connections, credentials, and refresh schedules Troubleshoot and resolve data pi

About Welo Global Welo Global is a leader in multilingual AI, technology, and content solutions serving over 2,000 clients in 300 languages. The company combines globally scaled multilingual infrastructure, including a network of over 500,000 linguists and domain experts, with advanced NLP, computational linguistics, and best-in-class compliance backed by seven ISO certifications. Welo Global ’s five brands—Welocalize (multilingual content and localization services for global enterprises), Park IP (intellectual property and patent translation services for law firms and corporate legal teams), Welo Life Sciences (regulated language and compliance-aligned content solutions for pharmaceutical, biotech, and medical device organizations), Adapt (multilingual performance-led digital marketing agency), and Welo Data (multilingual data generation, evaluation, and human data infrastructure for AI systems)—serve distinct customer segments with purpose-built expertise, fit-for-purpose solutions, and supporting technology. weloglobal.com About the Role We're hiring a technically strong Senior Data Analyst to help modernize how our FP&A organization uses data, analytics, and automation. This is an embedded Finance role: you'll report directly to the FP&A Director and work side by side with her day to day while partnering closely with our central Data Analytics and Data Engineering teams on infrastructure, standards, and complex technical problems. It's a hands-on execution role fo

About Blip We are a global technology company and leaders in conversational commerce in Latin America, offering SaaS solutions that allow companies to connect with their customers through digital channels such as WhatsApp, Instagram, and others. Today, we have over 1,000 employees and offices in Brazil, Mexico, and Spain, serving thousands of companies worldwide. Supported by global investors like Warburg Pincus, SoftBank, and Microsoft, we continue on a consistent path of accelerated growth and international expansion. Position Objective Lead the strategy and evolution of the Data area, connecting Technology, Product, and Business, ensuring that data is used as a strategic element for decision-making, operational efficiency, and business value generation. Main Responsibilities Define and execute the data strategy and roadmap aligned with business objectives. Lead, develop, and structure Data teams, promoting high performance and technical and professional evolution. Ensure the evolution of architecture, platform, products, and Data solutions. Act in defining priorities and strategic decisions related to the Data ecosystem. Ensure quality standards, governance, security, and data reliability. Work in partnership with Technology, Product, Operations, and other strategic areas. Transform business needs into Data solutions and products. Promote a data-driven culture and expand its use.

Labcorp is a global leader in laboratory services, providing the insights and answers that help healthcare providers, patients, researchers, pharmaceutical companies and health systems make confident decisions and improve outcomes. Through our unparalleled science, data, technology and laboratory network, we advance diagnostics, accelerate innovation and help address some of the world’s most important health challenges. As we shape the future of healthcare, we are leveraging advanced technologies, intelligent digital solutions and data-driven innovation across our operations to enhance how work gets done and deliver greater value to customers and patients. With our global scale and deep expertise, you’ll have the opportunity to do meaningful work, grow your career and make a real impact on people’s health around the world. Together, we’re improving health and improving lives. Senior Data Scientist, Marketing Measurement, Consumer Solutions Labcorp is seeking a remote Senior Data Scientist, Marketing Measurement, Consumer Solutions, to join our team! Responsibilities: Lead Labcorp OnDemand's marketing measurement strategy, establishing scalable, privacy-compliant frameworks for performance tracking across all marketing channels. Partner with Marketing, Data Engineering, IT, Privacy, and Analytics teams to build a unified marketing data model connecting campaign, customer journey, and business outcome data. Define and govern KPI definitions, event taxonomies, attribution method

Job Title: Senior Data Engineer Location: Remote – Latin America (Must be able to work within U.S. time zones) Type of Contract: Full-Time | Remote | Contractor Salary Range: Market Rates Our client is seeking a skilled Senior Data Engineer with 6+ years of experience in data engineering and deep expertise in Snowflake optimization, large-scale data pipelines, and data quality engineering. You will play a key role in building and maintaining a production-ready evaluation pipeline to assess the accuracy and reliability of new datasets against reported company revenue. Your work will directly impact data quality, analytical accuracy, and the performance and cost efficiency of their data infrastructure. Key Responsibilities Build and maintain Snowflake-based evaluation pipelines to measure the accuracy of new datasets independently and in combination with existing data sources. Implement statistical evaluation metrics, including correlation and mean absolute error (MAE), to compare estimated company revenue against reported results. Optimize Snowflake performance and compute costs through warehouse sizing, clustering, materialization strategies, query optimization, and data pruning. Develop automated processes to collect, map, validate, and maintain ground truth company revenue data. Implement data quality checks, reconciliation rules, and monitoring systems to identify inconsistencies and maintain reliable downstream reporting. Evaluate new datasets, investigate data quality is

Why Join GEICO ? At GEICO , we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide. Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. When you join our company, we want you to feel valued, supported, and proud to work here. That's why we offer the GEICO Pledge: Great Company, Great Culture, Great Rewards, and Great Careers. Overview: The Business Intelligence Analyst III / IV is responsible for designing, developing, and supporting enterprise business intelligence and visual analytics solutions that enable data-driven decision-making. This role transforms complex data into meaningful reports, dashboards, semantic models, and analytical solutions that support operational and strategic business outcomes. The associate partners with business stakeholders, technology teams, and data engineering partners to deliver scalable visual reporting solutions, establish semantic modeling standards, and translate advanced analyses into clear recommendations. Microsoft Power BI is the primary business intelligence platform for this role; however, the associate is expected to remain agile and use Apache Superset or ot

Built on meritocracy, our unique company culture rewards self-starters and those who are committed to doing what is best for our customers. Brown and Brown is seeking a Senior Data Scientist to join our growing Digital Innovation team! The Senior Data Scientist is responsible for leading Brown & Brown’s data science and advanced analytics capabilities to support informed decision-making, operational efficiency, and risk-aware growth. This role partners closely with business, technology, and risk stakeholders to design and deploy predictive analytics and modeling solutions while ensuring outputs are explainable, responsible, and appropriate for a regulated insurance environment. How You will Contribute: Lead the development and delivery of data science and advanced analytics solutions supporting underwriting insight, operational performance, and risk management. Translate business problems into scalable analytical use cases aligned with regulatory and risk expectations. Oversee the design, validation, deployment, and monitoring of predictive models with appropriate documentation and controls. Partner with data governance and risk teams to ensure model explainability and compliance. Be a technical lead in a team of data scientists and analysts with clear priorities and performance standards. Communicate insights clearly to non-technical leaders to support confident decision-making. Skills and Experience to be Successful: Bachelor’s Degreen in Data Science, Engineering or re

WELCOME TO OLX We're building marketplace sustainable ecosystems that millions of people depend on every month – to buy and sell cars, find homes, land jobs, and trade secondhand goods. It's commerce that matters: safe , smart , and environmentally responsible . We do this with courage to innovate, commitment to outcomes, collaboration across 50+ nationalities and 7 markets, and a customer-led approach that puts real people first. Add a desire to win – and you get a culture that's ambitious, fast-moving, and built on trust. Our brands – including AutoTrader, OLX , Otomoto Property24, and more – are loved by millions. And we're backed by Prosus, one of the world's largest tech investors. Join OLX and see how far you can go. ABOUT THE ROLEWe are hiring a mid-level Data Engineer for our team. Become a part of a team of data specialists who take care of massive amounts of data and groundbreaking technologies. Your work will be driving and empowering efficient and successful decentralised domain data ownership and data consumption, for example, around car pricing intelligence or deliveries. When needed, you can participate in the evolution and optimisation of our data stack, helping domains to ingest, process and consume data across the company. You will also play an active role in driving our agentic evolution roadmap. While being part of a central team of data engineers across Portugal, Poland and Spain, you will be embedded in cross-functional packs on a rotational basis. You w

Cisco is a leading technology company focused on revolutionizing data and infrastructure in the AI era. The role involves developing scalable data pipelines and building analytics platforms to support machine learning initiatives, enabling Ciscos business groups to leverage AI for operational excellence. Develop scalable data pipelines Design robust analytics platforms Build infrastructure to support machine learning initiatives Solve complex challenges with innovation and attention to detail Build and maintain key software tools and platforms Required Completion within the past 3 years, or current enrollment with expected completion within 12 months, of a certification or relevant degree program (e.g., Associates, Apprenticeship, Boot Camp, or Certification in a specialized program + 1 year of relevant experience, High School Diploma + 2 years of relevant experience) or Bachelors + 0 years of relevant experience Proficiency in Python, with a strong understanding of fundamental data structures Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn Familiarity with distributed data processing technologies, including Apache Spark, Hadoop (MapReduce), or Apache Flink Experience with containerization and orchestration tools, such as Docker and Kubernetes, for deploying data and machine learning workloads Preferred Hands-on experience with AI/ML Familiarity with major cloud platforms, such as AWS, Azure, or Google Cloud Understanding of d