Remote Data Engineering & Analytics Jobs

This role is part of our talent pipeline for future hiring needs. While there may not be an immediate opening, we regularly expand our team and are interested in connecting with talented professionals. Qualified candidates will be invited to meet the Hiring Team and, if successful, will join our talent pool for future opportunities. This position is open to candidates currently based in Hungary who have the legal right to live and work in the country. Only shortlisted candidates who meet these requirements will be contacted regarding next steps. THE ROLE The Data Quality Engineer is responsible for designing and implementing the data quality framework across the enterprise lakehouse platform. This role ensures that data assets meet defined quality standards through automated validation, monitoring, anomaly detection, and incident management, building trust in data across the organization. KEY RESPONSIBILITIES ▸ Design and implement a comprehensive data quality framework covering completeness, accuracy, consistency, timeliness, and uniqueness ▸ Build automated data quality test suites using Great Expectations, dbt tests, or Soda Core ▸ Develop data quality dashboards and scorecards to provide visibility to data producers and consumers ▸ Implement anomaly detection and data observability solutions (Monte Carlo, Bigeye, or custom solutions) ▸ Integrate quality checks into CI/CD pipelines to prevent bad data from reaching production ▸ Define and manage SLAs for data quality at th

Why Phase2 Phase2 is a remote-first agency focused on digital modernization, emerging innovation, and purpose-built AI products and frameworks. Over the last 20 years we have partnered with enterprise organizations at the forefront of their industries who strive to change how the world does business and how society is served. Through solutions that demand both deep expertise and advanced AI capabilities, we help organizations leap ahead with automatic, fast, safe, and scalable solutions that have never been possible before. The Role Are you passionate about using data to solve real business problems and shape smarter digital experiences? Phase2 is looking for a Senior Data Analyst who can help our clients move from data collection to decision‑making — and increasingly, from manual analysis to AI‑augmented insight. This role blends client‑facing strategic thinking with hands‑on technical execution. You’ll work across marketing, product, UX, and engineering teams to design measurement strategies, interpret complex data sets, and surface insights that inform both near term optimization and long term transformation. As Phase2 evolves in AI‑native and productized services, this role will help define how analytics, automation, and machine‑assisted insight generation become embedded in our practice. This position reports to: Director, Marketing Services Compensation: Base annual salary of $100,000 - $120,000 What You'll Do Technical & Analytical Execution Conduct audits of clien

Proficient Data Quality Consultant Required Skills: Hands-on experience with enterprise Data Quality tools such as: Informatica Data Quality (IDQ), Talend Data Quality, SAP Information Steward, IBM QualityStage, Oracle Data Quality, or equivalent tools. Solid understanding of DAMA-DMBOK based Data Quality dimensions: Accuracy, Completeness, Consistency, Validity, Uniqueness, Timeliness. Experience in data profiling, assessment, and quality analysis. Design and implementation of data validation, cleansing, normalization, and standardization rules. Advanced SQL proficiency for analysis, validation, and information monitoring. Experience integrating quality controls into ETL/ELT processes and data pipelines. Knowledge of metadata management, data lineage, and audit controls. Understanding of security, privacy, and compliance principles related to data management. Experience in root cause analysis and resolving data quality incidents. Ability to document metrics, rules, standards, and quality results. Desirable Skills: Experience with modern data architectures: Data Lake, Lakehouse, Data Mesh, Data Fabric. Knowledge of DataOps applied to data quality processes. Experience in automating monitoring and quality controls. Knowledge of Cloud platforms: Microsoft Azure, AWS, Google Cloud Platform (GCP). Experience working with multiple domains.

Project Data Manager Syneos Health® is a leading fully-integrated life sciences services organization built to accelerate customer success. We partner with innovators at every point across the drug development and commercialization continuum, helping them navigate complexity, anticipate change and accelerate progress. Our Clinical Solutions team members act with a drug development mindset, applying their years of experience and deep expertise to truly understand customer needs and represent those in the solutions we shape. Whether you join us in a Functional Service Provider partnership or a Full-Service environment, you’ll collaborate with passionate problem solvers, innovating as a team to help our customers achieve their goals. We are agile and driven to deliver – for one another, our customers, and, most importantly, for those in need. Discover what your 25,000 future colleagues already know: Why Syneos Health We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program. • We are committed to building an inclusive culture – where you can authentically be yourself. Central to this is our purpose – Driven to Deliver – which captures the passion of our colleagues to show up each day and shape solutions that have the ability to dramatically impact someone’s life. • We are continuously building the company we all want to work

Job Title: Junior Data Scientist Company Overview: SavageOne stands as a pioneering force in the realm of technology companies on a global scale. We are dedicated to spearheading innovation by harnessing the latest technologies and data-driven insights to instigate transformative shifts and foster sustainable solutions. Our team comprises a diverse ensemble of exceptionally talented individuals driven by a shared passion for leveraging data science to effect positive change. Position Overview: We are seeking a motivated and talented Junior Data Scientist to join our globally distributed team. As a Junior Data Scientist at SavageOne , you will have the opportunity to collaborate with top-tier professionals from around the world, working on challenging projects that push the boundaries of data science and drive meaningful outcomes. Key Responsibilities: Clean, preprocess, and analyze large datasets from various sources to extract actionable insights and identify patterns. Develop and implement machine learning models and algorithms to solve complex business problems and optimize processes. Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions. Utilize statistical techniques to conduct hypothesis testing, A/B testing, and other analytical experiments to validate models and findings. Communicate findings and insights effectively to both technical and non-technical stakeholders through clear visualizations, report

Job Title: Data Engineer Location: Remote. Duration: Full-Time. NEED IRS MBI Clearance with IRS GFE Position Overview: We are seeking an experienced Data Engineer to design, build, and maintain scalable data processing pipelines using modern big data technologies. The ideal candidate will have strong development skills and experience with distributed computing frameworks. Required Skills & Qualifications: Bachelor's degree in Computer Science, Engineering, or related technical field 5+ years of software development experience Strong proficiency in Python, Java or Scala programming languages Extensive hands-on experience with Apache Spark, including: Spark SQL Spark Streaming and its data sources KAFKA, CDC feed, etc Performance optimization and tuning Data transformation and processing Hands on Experience working with cloud-based Spark platforms (Databricks, AWS EMR, AWS Glue) Strong understanding of Hive, Unity catalog, Glue catalog Hands on Experience working with any data quality framework/tools Hands on Experience working with Observability and monitoring for data processing pipelines Strong understanding of distributed computing concepts Proficiency in version control systems (Github/GitLab/Bitbucket) Technical Requirements: Experience building and maintaining high-volume data processing pipelines Knowledge of data modeling and ETL / ELT best practices Familiarity with SQL and NoSQL databases Understanding of data warehouse concepts and dimensional modeling Preferred

We are expanding our engineering team! 🚀 Principal Data Engineer Build the data foundation for an Artificial Intelligence platform. About the challenge: We are looking for a Principal Data Engineer to lead the data architecture and engineering responsible for powering all platform intelligence. 🎯 Responsibilities: - Develop data ingestion and processing pipelines. - Build the Lakehouse architecture. - Implement data cataloging, lineage, and observability. - Ensure data quality, availability, and security. - Define data engineering standards for the program. ✅ What we are looking for: - Solid experience in Data Engineering. - Mastery of Databricks, SQL, and data pipelines. - Knowledge of Data Quality, Data Lineage, and Data Catalog. - Experience with scalable architectures. 🧠 Behavioral profile: We are looking for someone with: - Good communication skills; - Systemic vision; - Collaborative technical leadership; - Mentorship capability; - Pragmatic mindset; - Ability to work easily with multiple teams and different technological contexts. Additional information: ⭐ Nice-to-haves include Kafka and Streaming, Delta Lake, Event-Driven Architectures, and experience with sensitive data and compliance. 💬 Why this position is different: - Environment of high technical complexity; - Opportunity for technical growth; - Engineering best practices culture; - Collaborative and results-oriented teams. 🚀 Why Sciensa? - An environment that balances autonomy and governance; - Real and relevant technical challenges.

Are you passionate about working with data and making a direct impact on international clients? We are looking for a technical professional with a client-oriented profile to join a company specialized in data solutions. In this role, you will be the main point of contact for a portfolio of global clients present in Europe, Latin America, and the Middle East, helping them resolve challenges related to data management, quality, and integration. What will you do? Manage daily relationships with international clients and follow up on their needs. Resolve incidents related to data, extractions, loads, and integrations. Maintain and optimize data ingestion and distribution processes. Manage master data for products, stores, and categories. Create and modify queries, views, and validations in SQL Server. Coordinate information transfers via SFTP with clients and partners. Analyze problems, identify root causes, and propose solutions. Document processes and coordinate with IT exclusively for developments or integrations requiring specialized support. We are looking for professionals with: 2-4 years of experience in data consulting, Business Intelligence, or technical customer support. Proficiency in SQL Server (queries, joins, views, and data validations). Experience with Python (pandas) or other tools for data automation and processing. Knowledge of ETL, dimensional models, and data management.

What awaits you: As part of our energy data management team, you will support us in direct contact with meter operators and colleagues. You will dive deep into the world of a digital, employee-focused, and sustainable young company in the energy sector. Node.energy enables professional operators of wind power and PV plants to easily implement new business models with smart Software-as-a-Service solutions and remain profitable. To this end, opti.node brings together all data for the commercial management of wind power and PV plants and automates demanding administrative tasks and energy industry business processes. Already today, operators of more than 13,500 wind power and PV plants, generating more than a third of Germany's green electricity, rely on opti.node. We are looking for you as a Student Assistant (m/f/d) on a part-time basis in the area of energy data management as soon as possible. We look forward to meeting you! Your tasks: You configure and execute data uploads for energy data and check the data for completeness and plausibility. Once you are trained in this, you will help to further automate the upload processes together with the development department. If required, you will additionally assist with data gap inquiries for electricity tax settlements. You will process written inquiries from market partners and colleagues. You will help us to further optimize internal processes.

Senior Data Analyst Parallels has an immediate vacancy for this role. Push the boundaries of tech. In your sweatpants. We’re looking for an experienced Senior Data Analyst to help us change the way the world works. Here, you’ll be a key member of our Data Analytics team, where you will use your quantitative background to dive into large datasets to guide decision-making for the B2C Marketing team. The top creative and technical minds could work anywhere. So why are so many of them choosing Parallels ? Here are three reasons: This is the moment. It’s an exciting time at Parallels , with strong leadership, a refreshed brand, and a whole new approach to changing the way the world works. We’re at the forefront of a movement, and we want you to ride this wave with us. We want you to be you . Too often, companies tell you about their culture and then expect you to fit it. Our culture is built from the people who work here. We want you to feel safe to be who you are, take risks, and show us what you’ve got. It’s your world. We know you have a life. We want to be part of it, but not all of it. At Parallels , we’re serious about empowering people to work when, how, and where they want. Couch? Sweatpants? Cool with us. We believe that happy employees mean happy customers. That’s why we hire amazing people and get out of their way. Sound good so far? Awesome . Let’s talk more about the Senior Data Analyst role and see if we’re destined to be together. As a Senior Data Analyst you will:

Are you a IMS database systems engineer who loves to work on complex and challenging projects? Do you have experience as a IMS systems programmer and expertise in IMS internals, fundamentals, installations, and operations? If yes, then we have a great opportunity for you! The Opportunity: We are looking for a IMS database systems engineer for our partner to work on projects for clients in various industries. You will be responsible for implementing IMS data sharing/parallel sysplex, performing systems performance tuning and capacity planning, and ensuring security interface with IMS. You will also work with SMP/E and UserMods, IMS tools, and OEM vendor tools. You will also have knowledge of z/OS, USS, JCL, CICS/IMS, and MQ/IMS. To be successful in this role, you should have: Ideally 7+ years of experience as a IMS systems programmer Expertise in IMS internals, fundamentals, installations, and operations Experience in implementing IMS data sharing/parallel sysplex Experience in performing systems performance tuning and capacity planning Knowledge of security interface with IMS Experience with SMP/E and UserMods, IMS tools Indepth knowledge of z/OS, USS, and JCL skills Working knowledge of CICS/IMS and MQ/IMS Knowledge of interfacing with and installing OEM vendor tools Proficiency in IMS system~s performance tuning and capacity planning The offer : A competitive salary and benefits package A fully remote and flexible work environment A chance to work on diverse and innovative

Data Researcher - Taylor Hawkes Taylor Hawkes is a specialist recruitment agency operating across the US public accounting and legal markets. We work with a wide range of active firms, from growing independent practices to leading regional and national organisations. We are looking for a Data Researcher to identify & research public accounting and legal companies, then complete the contacts at these firms into our desired format. Main Responsibilities Company Discovery Use LinkedIn company search to identify suitable companies to our sectors of operation. Use Google to identify suitable companies to our sectors of operations Log newly discovered companies into our format on the CRM. Company Build Out Build out suitable companies with client & candidate contacts Completing all data fields on each contact, Name Email Address Location (Zip/State) Job Title Industry Etc. Use different techniques and software’s to aid research such as popular B2B tools like ZoomInfo LinkedIn/Outreach Candidate Generation Utilise LinkedIn to generate candidate leads from your research work Log candidate’s on the CRM Utilise the CRM tools & outlook to help generate candidate leads. The Ideal Candidate • Strong written communication skills • Competency to understand what data we are looking for. • Organised, consistent and comfortable working towards activity targets. • Technical CRM experience would be advantageous however not essential. • Effective completion of administrative tasks Rol

Overview DecisionPoint seeks a Senior Database Administrator to provide enterprise-wide leadership of database operations supporting a major federal and DoD-aligned mission environment. This role oversees secure hosting of IL5-compliant database platforms, ensuring optimal performance, schema governance, RMF control alignment, and full integration with the SDLC, DevSecOps, and application development teams. The Senior DBA is responsible for database engineering, performance tuning, replication, failover strategies, backup and recovery, and vulnerability remediation while leading a technical team of database administrators. This role ensures the reliability, resilience, and security of mission-critical data systems across multiple environments. This position is fully remote. Duties & Responsibilities Provide senior-level leadership over database operations, engineering, and administration in IL5 cloud and on-premise environments. Oversee schema governance, indexing strategies, data modeling, and optimization for performance and scalability. Ensure database platforms comply with DoD security requirements, RMF controls, STIG baselines, and audit readiness. Lead performance tuning efforts, query optimization, and troubleshooting of complex database issues. Manage backup, recovery, replication, clustering, and failover strategies to support high availability. Coordinate with DevSecOps engineers on database integration within CI/CD pipelines. Support secure SDLC processes, incl

At myPOS , we’re all about helping businesses grow and get paid. We make payments simple, smart, and accessible for everyone, but we’re more than just payment solutions - myPOS is a partner in growth. From free multicurrency accounts to powerful e-commerce tools, we’re here to support business owners of all sizes and everyone out there who dreams of starting their own business. As we are expanding our team, we’re looking for Data Engineer to help us make a real difference in the Fintech industry. Ready to join us and shape the future of payments? Let’s make it happen! About the role: As a Data Engineer , you’ll design, build, and operate scalable, reliable data pipelines and data infrastructure. Your work will ensure high-quality data is accessible, trusted, and ready for analytics and data science - powering business insights and decision-making across the company. What you’ll do: Build and maintain data pipelines for ingestion, transformation, and export across multiple sources and destinations Develop and evolve scalable data architecture to meet business and performance requirements Partner with analysts and data scientists to deliver curated, analysis-ready datasets and enable self-service analytics Implement best practices for data quality, testing, monitoring, lineage, and reliability Optimize workflows for performance, cost, and scalability (e.g., tuning Spark jobs, query optimization, partitioning strategies) Ensure secure data handling and compliance with relevant d

Job Title : Project Lead - Data and Analytics We are seeking a results-driven Project Lead Consultant to lead client-facing Data and AI initiatives from discovery through delivery. This role is ideal for a professional who combines strong project leadership, business analysis, and stakeholder management skills with a solid understanding of modern data platforms and reporting solutions. The Project Lead will partner with clients and cross-functional teams to define requirements, guide solution design, manage scope and timelines, and ensure high-quality outcomes that enable better business decisions. Success in this role requires strong communication, consulting presence, and the ability to translate business needs into practical, scalable analytics solutions. Responsibilities: Project Leadership: Lead data and analytics projects from initiation through delivery, managing scope, timelines, resources, budget, and risks to ensure successful outcomes. Team Leadership: Provide direction, coaching, and support to cross-functional project teams, fostering collaboration, accountability, and professional growth. Client Engagement: Build strong client relationships by understanding business goals, facilitating discussions, and providing strategic guidance on data and analytics solutions. Business Analysis: Elicit, assess, and clarify business needs through stakeholder interviews, process review, and analysis to define project objectives and solution requirements. Solution Translation: T

The Business Development Manager – Data Centres is a high impact role, ideally suited to an entrepreneurial and high impact individual with experience operating in the rapidly expanding Data Centre eco-system. With a background in either power and electrical systems or data com you will be an industry expert responsible for leading Fluke EMEA’s growth in serving the needs of this important customer segment. Responsible for accelerating Fluke’s penetration and market share across hyperscale, colocation, enterprise, and edge data centre operators. This role blends strategic market development with hands-on selling to drive pipeline development and unlock new logo wins, drive product-line expansion, secure multi-site contracts and develop go-to-market partnerships. In addition to data centre operators, this role will develop business with electrical contractors serving data centre construction and maintenance, as well as power-generation and utility companies supporting data centre loads and gray space infrastructure. A strong understanding of data centre operations, commissioning, electrical systems, contractor workflows, and facility maintenance is essential. With a European scope you will be working with leading logos across the region whilst also working cross-functionally within Fluke EMEA and the wider global corporation to ensure the appropriate level of support and prioritization for new business opportunities. Key Responsibilities Market Expansion & Business Develop

Greenberg Traurig (GT), a global law firm with locations across the world in 15 countries, has an exciting employment opportunity for you. We offer competitive compensation and an excellent benefits package, along with the opportunity to work within an innovative and collaborative environment. Join our Immigration department​as an Immigration Data Clerk located in our Warsaw Center of Excellence office (remote). Position Summary The Immigration Data Clerk position will partner with immigration attorneys/paralegals to assist with data entry and reporting. Candidate should be fluent in English. Duties & Responsibilities: Generate internal reports, including monthly reports on status document expirations, max-out dates, green card eligibility, and conditional green card expirations. Update case management system with immigration status documents, job details, and other client information. Complete reporting requests from client and internal team. Request the opening of billing matters and assist with legal services agreements/engagement letters. Audit client records and conduct data cleansing. Migrate data and documents for new clients to firm systems. Code immigration templates into case management system. Work on other data requests as needed. Qualifications Skills & Competencies Ability to work under pressure to meet strict deadlines. Excellent customer service skills and ability to work on multiple matters simultaneously in an organized manner and under minimal super

We are knowmad mood! We are a leading digital transformation company, constantly evolving and at the forefront of technology. We were born to drive real change through innovation and sustainable development, with the mission to bring value to clients and empower our talent. Composed of over 3,000 creative, digital, and innovative people connected by a purpose and capable of generating connections with people worldwide. A responsible, flexible team with a high capacity to adapt to the needs of our clients and the market, while providing value, vision, creativity, expertise, professionalism, and a passion for technology in every project. The values that guide our direction and lead us toward excellence are collaboration, innovation, commitment, fun, and trust. This time, we are looking for a Data Engineer, Snowflake Specialist in Latin America. Experience in the insurance sector will be a plus. Responsibilities: Design, develop, and maintain efficient, robust, and scalable data pipelines. Implement data ingestion, transformation, and validation processes using PySpark. Orchestrate complex workflows using Airflow or similar orchestration tools. Design and evolve analytics-oriented data models, including architectures based on the Medallion approach. Manage and optimize advanced SQL queries in Snowflake environments. Participate in analysis.

Space-1 is NVIDIA 's first Orbital Data Center (ODC) module — a Vera Rubin–class compute platform engineered for low-Earth orbit mission. It is the first step in a multi-generation orbital roadmap to speed up AI adoption. We are looking for a strong technical architect to own end-to-end system software architecture for Space-1 and successor orbital platforms. You will architect the full stack — application to libraries, from data center stack to BMC and BIOS firmware, manageability, and telemetry through the host OS, GPU and CPU drivers, and CUDA — to deliver a production-ready inference platform that operates reliably in the radiation, thermal-cycling, and remote-operations environment of LEO. You will partner closely with the orbital hardware system architecture team, drive customer use cases with constellation operators, align architecture with mission requirements, and bring the best orbital AI products to market. Join us at the forefront of technological advancement. What you'll be doing: Own system architecture for inference stack and other applications running on this class of products and make it resilient to any fault happening in space. Co-architect with the orbital hardware system architecture team to define interfaces, partitioning, and trade-offs across silicon, board, firmware, OS, and AI workload layers for 5-year LEO missions. Own end-to-end system software architecture for Space-1 and successor Orbital Data Center modules — covering data center stack, BMC fir

At myPOS , we’re all about helping businesses grow and get paid. We make payments simple, smart, and accessible for everyone, but we’re more than just payment solutions - myPOS is a partner in growth. From free multicurrency accounts to powerful e-commerce tools, we’re here to support business owners of all sizes and everyone out there who dreams of starting their own business. As we are expanding our team, we’re looking for Senior Data Engineer (B2B Contractor) to help us make a real difference in the Fintech industry. Ready to join us and shape the future of payments? Let’s make it happen! About the role: As a Senior Data Engineer, you’ll design, build, and operate scalable, reliable data pipelines and data infrastructure. Your work will ensure high-quality data is accessible, trusted, and ready for analytics and data science - powering business insights and decision-making across the company. What you’ll do: Build and maintain data pipelines for ingestion, transformation, and export across multiple sources and destinations Develop and evolve scalable data architecture to meet business and performance requirements Partner with analysts and data scientists to deliver curated, analysis-ready datasets and enable self-service analytics Implement best practices for data quality, testing, monitoring, lineage, and reliability Optimize workflows for performance, cost, and scalability (e.g., tuning Spark jobs, query optimization, partitioning strategies) Ensure secure data handling

Employment details: Permanent contract, Full or Part-Time, Remote or Cologne / Darmstadt / Düsseldorf / Berlin. Info: Who we are. We are the tech powerhouse behind Kaufland’s international online marketplaces and a company within the Schwarz Group. Driven by a start-up mentality and working on an equal footing within flat hierarchies, we develop the best marketplace solutions for our customers, sellers, and partners. #FromEuropeForEurope. Day by day, our Tech & Product Team of about 400 experts pursues the goal of creating the best possible customer shopping experience for our online marketplace. Through innovative technical developments, they not only create an outstanding shopping experience but also lay the foundation for an optimal selling experience for our sellers. Learn more about our division, areas, and cross-functional teams here! Tasks – this is what awaits you in detail: You work on new and existing projects that push the business forward. You seek out opportunities continually where data science can have a big impact, pushing for those opportunities when they arise and pushing back when they aren't high impact. You take full responsibility for the end-to-end lifecycle of data science services, from initial conceptualization and prototyping to full-scale production. You work autonomously or in teams of varying sizes on a wide variety of projects; some examples could include: pricing prediction models, pricing elasticity models, multimodal classifiers, complex analytics.

This is a remote position. AI Automation & Data Platform Lead (Build & Scale Our AI-Driven Global Sourcing Platform) About ASC Global ASC Global is a global independent distributor and sourcing company serving the electronic-components, computer and data-center, industrial MRO and aviation MRO markets. We source semiconductors, passive components, interconnect products, memory, computer hardware, data-center infrastructure and industrial/aviation parts from suppliers worldwide. The Opportunity We're building an AI-driven global sourcing and product-intelligence platform, and we need someone who can both build it and help the rest of the company put AI to work. This is a rare hybrid: part hands-on technical builder, part AI/automation lead for the business. You'll personally architect and ship a system that continuously monitors hundreds of distributor sites, broker inventories, marketplaces and manufacturer sources - identifying products, capturing pricing and availability, and matching listings to canonical parts - while also working directly with our buyers, sales, operations and leadership to find and implement practical AI use cases across the company. This is not a role where you hand requirements to someone else and wait. You'll write the code, deploy the system, and also run the workshops that get people using it. What You'll Do Build and operate the crawling, data-ingestion, normalization and matching platform - handling static and JavaScript-rendered sites, P

Job Description Summary As Senior Staff Data & Information Architect for GE's Oracle ERP platforms, you will own the architecture, reliability, performance, security, and lifecycle management of enterprise E-Business Suite database platforms. In this role, you will lead and mentor the Oracle EBS DBA vendor team while partnering with Application Operations, Product Development, and Infrastructure teams to deliver highly available, secure, and cost-effective EBS DBA services — continuously advancing best practices across the organization. Job Description Site Overview Established in 2000, the John F. Welch Technology Center (JFWTC) in Bengaluru is our multidisciplinary research and engineering center. Engineers and scientists at JFWTC have contributed to hundreds of aviation patents, pioneering breakthroughs in engine technologies, advanced materials, and additive manufacturing. Role Overview: The ideal candidate should be process oriented and have a collaborative working-style to help accelerate the implementation of the digital platforms supporting one of the world's largest, digital software businesses. Lead the EBS DBA support for critical ERP environments hosted in Oracle Cloud, supporting 24x7 global sites. Establish data governance and issue management processes. Partner with application operations, product development, and infrastructure teams to deliver highly available, secure, cost-effective EBS DBA services, advancing best practices and formulate strategy as rel

What you will do Design, implement, and optimize end-to-end recommendation pipelines, from data ingestion to model inference. Build and maintain scalable ETL pipelines to support reliable and efficient data flows. Develop, evaluate, and continuously improve ML models for recommendation systems. Research, prototype, and implement state-of-the-art (SOTA) approaches to improve recommendation quality and drive key business metrics. Scale and optimize data and model pipelines to handle large volumes of data and real-time or batch processing needs. Integrate multi-modal data (e.g., behavioral, transactional, and contextual signals) from various systems into recommendation models. Ensure robustness and stability of pipelines by implementing unit and integration tests across data, modeling, and deployment workflows. Monitor and maintain end-to-end system performance, including data pipelines, model quality, and downstream impact. Design and analyze A/B tests to evaluate model performance and support data-driven product decisions. Build dashboards and observability tools to track model metrics, system health, and business KPIs. Collaborate closely with Data Engineers, Software Engineers, and stakeholders to deliver scalable, production-ready solutions. What you bring Bachelor's or Master's degree in Computer Science, Engineering, or a related field Strong Python experience with recent production use, including hands-on work with data science and machine learning libraries and framewor