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Browse remote data opportunities modeling high-volume transaction feeds, real-time analytics, and modern cloud warehouses.

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Showing 553–576 of 2595 verified active positions

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Client: oil and gas company (upstream operator, Houston HQ) · Location: remote, LATAM, Houston business hours · Level: senior · Engagement: full-time contractor You will build the pipelines that move well, production and sensor data from the field into a cloud lakehouse used by engineers and analysts. What you will do Ingest time-series data from SCADA and historians (OSIsoft PI, OPC UA) alongside ERP and production accounting sources Build batch and streaming pipelines on Databricks or Snowflake with Spark, Kafka and Airflow Model data in a medallion architecture for production, drilling and maintenance analytics Enforce data quality, lineage and access controls Work with reservoir and production engineers to turn their questions into datasets Optimize pipeline cost and performance What you bring 5+ years in data engineering Strong SQL and Python, plus Spark in production Experience on Azure or AWS data stacks Orchestration with Airflow or similar, and dbt for transformations Experience with high-volume time-series or IoT data Advanced English Nice to have Oil and gas domain knowledge (WITSML, PPDM, OSDU) PI System integration experience Spanish or Portuguese for work with LATAM operations Originally posted on Himalayas

Worldwide
Pontoonglobal

Data Engineer

Full-time

Job Title: Data Engineer (PySpark / Scala / Python) Location: Remote Job Description: We are hiring a Data Engineer with strong hands-on experience in PySpark , Scala , and Python . You must have solid expertise in Apache Spark , as it will be the core technology used for building and managing large-scale data processing pipelines. Experience with cloud platforms like Google Cloud Platform (GCP) , Microsoft Azure , or AWS is a plus. Required Skills: Strong hands-on experience with Apache Spark Proficient in PySpark Experience in Scala and Python Knowledge of ETL processes and data pipeline design Understanding of distributed data processing Familiarity with version control tools like Git Basic knowledge of cloud platforms (GCP, AWS, or Azure) Nice to Have: Experience with cloud-native data tools (e.g., Dataproc, Glue, EMR, BigQuery) Familiarity with workflow/orchestration tools like Airflow or Cloud Composer Experience with CI/CD for data engineering Exposure to both structured and unstructured data Originally posted on Himalayas

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Role: SAP S/4 HANA ABAP Developer (CDS, RAP, OData) Experience: 2–4 Years Location: Remote Job Description: Looking for an SAP S/4 HANA ABAP Developer with 2–4 years of experience in designing and developing ABAP solutions per functional requirements. Key Skills & Responsibilities: Strong hands-on experience in CDS Views, RAP, OData, ABAP on HANA . Develop and enhance ABAP solutions (workflows, PI interfaces, reports, enhancements). Experience with Webdynpro , RFCs, Web Services, and NetWeaver Development Infrastructure (NWDI) . (Optional) Knowledge of FPM , SAP Fiori , and S/4 HANA . Collaborate with Architects and Functional Analysts to deliver high-quality solutions aligned with SAP standards. Originally posted on Himalayas

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Role Title: Subject Matter Expert – Chart & Data Visualization Analysis Role Type: Contract Location: Remote Required Skills: Chart interpretation accuracy Multi-step quantitative reasoning Question design / unambiguous task construction Domain-specific terminology precision Remote collaboration In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. This opportunity is ideal for data-driven professionals with a meticulous eye for interpreting domain-specific charts, excellent quantitative reasoning, and a passion for communicating complex concepts clearly in both written and verbal form. Contributors from Medicine & Biostatistics, Finance & Economics, Engineering & Physics, Earth Sciences & GIS, Data Science & Statistics, or Operations & Manufacturing are especially encouraged to express interest. Scope of Work: Interpret and analyze domain-specific charts, graphs, and data visualizations with a high level of accuracy and domain terminology precision. Design clear, unambiguous questions that require multi-step quantitative reasoning based on information-rich charts. Develop objectively answerable tasks focused on in-depth reasoning, calculations, comparisons, and trend analysis. Provide precise answers along with detailed, step-by-step explanati

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Codest Ltd. Company No. 12590542, VAT number: GB363431020

Data Engineer w/ Databricks

Full-time

🌍 Hello World! We are The Codest - International Tech Software Company with tech hubs in Poland delivering global IT solutions and projects. Our core values lie in “Customers and People First” approach that prioritises the needs of our customers and a collaborative environment for our employees, enabling us to deliver exceptional products and services. Our expertise centers on web development, cloud engineering, DevOps and quality. After many years of developing our own product - Yieldbird, which was honored as a laureate of the prestigious Top25 Deloitte awards, we arrived at our mission: to help tech companies build impactful product and scale their IT teams through boosting IT delivery performance. Through our extensive experience with product development challenges, we have become experts in building digital products and scaling IT teams. But our journey does not end here - we want to continue our growth. If you’re goal-driven and looking for new opportunities, join our team! What awaits you is an enriching and collaborative environment that fosters your growth at every step. We are currently looking for: DATA ENGINEER w/ DATABRICKS Here, you will have an opportunity to contribute to a banking app for one of the leading financial groups in Japan. The platform is equipped with bank modules and data management features and it is customer-facing as well. We are seeking an experienced Databricks Engineer to design, build, and manage scalable data solutions and pipelines usin

Worldwide

SE Ranking , an all-in-one SEO and digital marketing platform, is seeking a Senior Product Manager to scale our Data Product - our API and MCP offering - from early traction into a repeatable, scalable revenue line. We've already gone from 0 to 1: we have paying API customers, a fast-growing MCP that recently overtook our classic API in daily unique users, and partners building agentic workflows on top of our data. Now we need someone to own the entire revenue funnel and turn that momentum into further growth of MCP usage and Data MRR. If you get excited about turning a data & developer product into a growth engine - and about making SE Ranking the marketing intelligence infrastructure for AI agents - then this role is for you. Key Responsibilities: You will report directly to Mike Korenugin , VP of Product, and own the entire funnel for the Data Product (API + MCP) : from acquisition and activation, to sales enablement, to onboarding, retention, and expansion. You'll drive two connected revenue engines - net-new MRR from API and Data customers, and net dollar retention (NDR) by embedding MCP and agentic workflows into the core SEO jobs our customers do every day. You'll lead a focused squad with Aleksander Germatsky as your Engineering Manager and Senior Engineers Dominik Stypula and Mikhail Liubushkin shipping the endpoints, infrastructure, and developer experience that make the product sell and stick. On go-to-market, you'll partner daily with Valentyna Havryliuk , our

EU/EEA
Full-time

Job Title: Associate Data Partnerships Manager Job Type: Full-time Location: Remote Compensation : $50–$70/hour and ~$2K per deal closed. Closing 5–10 deals/month is very achievable. We are looking for a Data Partnerships Manager to identify, engage, and close partnerships with companies that have valuable operational data for AI training and evaluation. Required Skills Negotiation Prospecting Closing Partnerships What You'll Do Find companies that have valuable operational data for AI training. Reach out to founders, executives, and business owners through outbound prospecting. Book and run discovery calls with potential partners. Explain how their data can be used for AI training and evaluation. Answer questions about privacy, security, data ownership, and anonymization. Negotiate partnership terms and close deals. Build and manage your pipeline from first outreach through signed agreement. Work with internal teams to onboard partners after closing. What We're Looking For Strong communication and relationship-building skills. Comfortable speaking with founders, executives, and business owners. Confident running discovery calls and explaining value clearly. Comfortable with outbound outreach and building new relationships from scratch. Able to clearly explain technical concepts to non-technical people. Resourceful, proactive, and comfortable working in a fast-moving environment. Motivated by closing deals and performance-based compensation. Preferred 2+ years of experience i

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Full-time

Addepto is a leading AI consulting () and data engineering () company that builds scalable, ROI-focused AI solutions for some of the world's largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. With an exclusive focus on Artificial Intelligence and Big Data, Addepto helps organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth. The company's work extends beyond client engagements. Drawing from real-world challenges and insights, Addepto has developed its own product - ContextClue - and actively contributes open-source solutions to the AI community. This commitment to transforming practical experience into scalable innovation has earned Addepto recognition by Forbes as one of the top 10 AI consulting companies worldwide. As part of KMS Technology, a US-based global technology group, Addepto combines deep AI specialization with enterprise-scale delivery capabilities—enabling the partnership to move clients from AI experimentation to production impact, securely and at scale. As a Data Engineer , you will have the exciting opportunity to work with a team of technology experts on challenging projects across various industries, leveraging cutting-edge technologies. Here are some of the projects we are seeking talented individuals to join: Development and maintenance of a large platform for processing automotive data. A significant amount of data is processed

Worldwide

Kargo creates powerful moments of connection between brands and consumers to build businesses. Every day, our dynamic teams work to radically raise the bar on what agentic AI, CTV, eCommerce, social, and mobile can do to deliver unique ad experiences across the world’s most premium platforms. Taking a Creative Science approach to all we do, we continuously innovate solutions that outperform industry benchmarks and client expectations. Kargo is growing rapidly and currently has offices in NYC, Chicago, LA, Dallas, Sydney, Auckland, London and Waterford, Ireland. Who We Hire Techies who want to build the future. Creatives who want to design it better. Communicators to win business. Collaborators to build it. Data pros who turn numbers into insights. Product builders who turn ideas into innovations. Anyone eager to be on a team that doesn’t stop to ask what’s next, because they’re already building it. The Opportunity Kargo is building toward a unified platform where advertisers run campaigns across CTV, web, mobile apps, and social entirely self-serve. This is the first time that capability goes directly into clients' hands. Clients will pull their own reports, debug their own setups, and ask why a campaign isn't pacing, so the data behind them must be quick to extend, stable enough to trust, and structured for automated triage. Our pipelines already run at that scale, but each demand is met one team at a time: reporting is bespoke, stability rests on each team's own practice an

EU/EEA
Full-time

About Avary.ai Avary.ai is building an AI-native recruiting platform designed to make hiring faster, more efficient, and more consistent. Our platform automates key parts of the recruiting workflow, including resume screening, AI-powered structured interviews, candidate evaluation, interview reporting, and hiring workflow orchestration. As a Data Scientist Intern , you will work with real recruiting and interview data and help us improve the intelligence behind Avary’s candidate evaluation and hiring decision-support systems. What You’ll Work On You will work closely with Avary’s engineering and product teams on practical data science problems across candidate evaluation, recruiting analytics, and AI system quality. Depending on the project, your work may include: Analyze structured and unstructured recruiting data, including resumes, interview responses, candidate evaluation results, and hiring funnel data. Develop metrics and analytical frameworks for measuring candidate quality, interview performance, evaluation consistency, and recruiting efficiency. Analyze AI interviewer and LLM-generated evaluation results to identify patterns, failure cases, bias, and opportunities for improvement. Design experiments to evaluate different prompts, interview strategies, scoring rubrics, and AI evaluation models. Build statistical or machine learning models for problems such as candidate-job matching, candidate ranking, interview outcome analysis, and recruiting funnel prediction. Devel

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Help build the datasets that power tomorrow's AI breakthroughs We're scaling multiple high-volume data collection pipelines across speech, audio, text, and visual content to train cutting-edge AI models. We need a detail-oriented operations specialist who thrives in fast-paced environments and can juggle multiple concurrent projects while maintaining exceptional quality standards. What You'll Own Pipeline Management & Participant Experience Design and execute end-to-end participant journeys from recruitment through final payout Build scalable processes to consistently hit weekly throughput targets across 3-5 active projects Create seamless onboarding experiences that maximize participant completion rates Process Optimization & Automation Identify repetitive tasks and implement systems to streamline operations Build tracking and monitoring systems that give stakeholders real-time project visibility Design workflows that minimize manual touchpoints while maintaining quality control Quality Assurance & Compliance Develop sampling strategies and quality control checkpoints to maintain 95%+ acceptance rates Ensure bulletproof compliance with consent protocols and data handling requirements Implement rapid feedback loops to minimize re-work and optimize participant experience Operations Excellence Provide lightning-fast technical support (sub-12 hour response time) across multiple channels Generate actionable weekly reports with clear recommendations for process improve

Worldwide

Project-Based | Remote | Limited Engagement We are looking for an experienced Lead Architect to design and shape the “Intelligence Layer” of our React Native mobile application. This is a high-impact, short-term consulting engagement (a few hours total) focused on providing strategic architectural direction , not long-term implementation. Requirements About the Role You will act as the critical bridge between raw data systems and our React Native engineering team . Your mission is to design a system that enables our developers to deliver personalized user experiences effortlessly — without requiring deep expertise in data science or CDP orchestration. You’ll define: Data flow and architecture System “contracts” SDK and integration strategy What You’ll Do Strategy & Architecture Design the Data “Plumbing” Build a scalable architecture connecting: Historical data (Data Warehouse) Real-time behavioral data (Streaming) → into a unified decisioning engine Enable Developers Create clean technical abstractions such as: React Context providers Custom Hooks API wrappers So the mobile team can easily consume personalization logic Own Identity Resolution Define a cross-platform identity strategy ensuring seamless “guest recognition” across web and mobile Define the Tech Stack Recommend and justify the optimal combination of: CDP (Customer Data Platform) Decisioning engine Analytics tools balancing power with ease of use Establish Schema Governance Create a global event taxonomy to e

Worldwide

We are seeking a highly qualified Phonetic Linguist to join our team working on cutting-edge AI voice synthesis technology. This role involves precise annotation of professional singing recordings to create training data for advanced voice synthesis models. The position requires segmenting singing audio into individual phonemes with millisecond-level accuracy using spectrogram analysis. You will work with recordings across multiple languages, identifying and labeling vocal techniques including breathing patterns, glottal stops, vocal fry, and silence markers. This is a remote contract position offering the opportunity to work with proprietary annotation technology while contributing to breakthrough developments in AI-powered vocal synthesis. The role involves collaboration with an international team and handling confidential voice synthesis research. Key responsibilities include: Segmenting singing recordings into 5-30 second phrases with precise timing Correcting automated phoneme predictions using visual and auditory analysis Labeling special vocal elements (breathing, silences, glottal stops) Handling cross-linguistic pronunciation variations in musical contexts Maintaining consistent quality standards across large datasets Working with proprietary web-based annotation platforms Technical requirements: Reliable high-speed internet connection Professional audio equipment for precise listening Quiet workspace suitable for detailed audio analysis Availability for 20-30 hours

Worldwide
Full-time

Talent Wanted. For hazardous journey. Small wages, bitter cold, long months of complete darkness, constant danger, safe return doubtful. Honour and recognition in case of success. Fridtjof Nansen crossed the Arctic, going places no human had ever been. Together with our users, we're doing the same onchain: charting entirely new territory. Nansen is the onchain analytics platform traders and funds use to see what's actually happening on-chain. We label and track 500M+ blockchain addresses, the largest such dataset in the industry. Our mission: Surface the signal and create winners. This seat also comes with a defined runway: you'll start as an IC, with a clear path to Engineering Manager within 12–18 months for the right person. What you'll do at Nansen You'll work with data engineers and ML engineers to build the data infrastructure that powers Nansen 's customer-facing analytics product. Design, build, and scale data pipelines and infrastructure in ClickHouse, Postgres, Python, and dbt Run the pipelines behind 500M+ labeled addresses, moving terabytes of streaming and batch data every day Partner with crypto researchers, software engineers, and product to shape how data gets modeled, surfaced, and productized Own data quality, reliability, and observability end-to-end. At most analytics companies a wrong number is a support ticket. Here, it's a position someone took. Mentor other data engineers and raise the technical bar across the team Use AI tools and agents to move faste

EU/EEA

About company Plum Research (an Ampere Analysis company ) is a data and analytics company specialising in audience measurement for the global entertainment industry. Headquartered in Poland and operating worldwide, Plum Research provides detailed insights into viewership behaviour across streaming platforms, TV networks, and film studios. With proprietary data collection technology and advanced analytical tools, Plum helps media clients make smarter content, licensing, and marketing decisions. About the role As a Data Analyst at Plum Research, you’ll work with large-scale audience data to understand how people watch and engage with content across global streaming platforms. You’ll work extensively in SQL, with Python for deeper analysis, data processing and automation. A big part of the role is turning ambiguous questions into clear analytical problems, investigating the data, and working out what the results actually mean. You’ll also communicate your findings to clients and internal teams, from answering ad-hoc questions to presenting analysis and explaining the story behind the numbers. Your responsibilities Analyse complex datasets using Python and SQL to uncover key insights about audience behaviour Turn ambiguous or loosely defined questions into clear analytical problems and practical solutions Support ongoing data quality initiatives, ensuring our data outputs are gold standard Prepare and present compelling data summaries and visualisations for internal and client st

Worldwide
Matrix Global

Data Engineer

Full-time

Description We are looking for a talented Data Engineer to help shape the next generation of AI-driven financial crime detection solutions. If you have strong data engineering expertise, hands-on experience building and optimizing large-scale data pipelines, and a passion for solving complex real-world challenges, this could be the perfect opportunity for you. In this role, you will design and develop the data foundations that power advanced money laundering detection solutions for leading financial institutions worldwide. Responsibilities Develop, implement, and maintain production-grade data pipelines based on data science requirements. Design and build scalable data flows for specific business use cases that can be integrated into the product. Build and maintain machine learning data pipelines. Create tools and frameworks that support data scientists and analytics teams in developing and optimizing innovative solutions. Collaborate closely with Product, R&D, Data, and Analytics teams to enhance system functionality and performance. Train customer data scientists and engineers on maintaining and enhancing data pipelines within the platform. Travel domestically and internationally to support customers when required. Build and manage strong technical relationships with customers and partners. Requirements 2+ years of hands-on experience with Apache Spark (required). Strong experience with SQL . Experience using version control systems, particularly Git . Hands-on experien

EU/EEA
Jimmy Technologies

Senior Teradata Architect

Full-time

We are looking for a Senior Teradata Architect for our Fortune 500 client and their banking client. We're looking for a hands-on architect with deep experience designing and delivering enterprise data warehouse solutions on Teradata , ideally within the Teradata Financial Services Data Model and an Inmon-style integrated EDW. The role combines solution architecture, governance, and stakeholder alignment with real hands-on work. Roughly 50% of the role is hands-on: SQL investigation, detailed data analysis, solution validation, and delivery support. This is not a purely strategic architecture position. This is a long-term remote-first contract position in the EU with occasional on-site participation in client workshops. Responsibilities Own and support data architecture design for enterprise data warehouse delivery. Analyse source data, data flows, business requirements, and downstream consumption needs. Perform Teradata SQL investigation, detailed technical analysis, and solution validation. Work with business stakeholders, domains, engineers, testers, delivery leads, and peer architects to resolve queries and align on solution direction. Assess design options and recommend pragmatic, scalable, standards-aligned solutions. Produce and maintain architecture artefacts: High Level Designs, Architecture Design Decisions, solution options, design rationale, assumptions, risks, and governance-ready packs. Present designs and recommendations to Architecture Boards and governance for

EU/EEA
Full-time

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder-led, profitable, and growing. This is an exciting opportunity for a software engineer passionate about open source software, Linux, and web services at scale. Come build a rewarding, meaningful career working with the best and brightest people in technology at Canonical , a growing pre-IPO international software company. Canonical ’s engineering team is at the forefront of the IoT revolution and aims to strengthen this position by developing cutting-edge telemetry and connectivity solutions. By integrating reliable, secure, and robust data streaming capabilities into the Snappy ecosystem, we are setting new standards in the industry for ease of development, implementation, management and security. We are seeking talented individuals to help us enhance our global SaaS services, providing customers with the ess

EU/EEA

Maybe you call yourself a Senior Data Engineer, a pipeline architect, a "why-is-this-TOS-data-a-mess" specialist… or maybe you just call yourself Sam. Whatever you call yourself, you'll join Terminal.exe, All Your BI 's AI-native data platform for container terminal operators, and build the core of it: the pipelines and data model that turn fragmented, hard-to-trust terminal data into something operators run their day on. What you get A salary between €85,000-€99,000 per year inclusive of holiday allowance, based on your experience. €5,000 a year for your own growth, with a real say in how you spend it. 25 vacation days + the option to buy up to 10 more + local public holidays + the option of a sabbatical up to 4 months. Two trips abroad a year with the whole team + occasional drinks and team outings. €500 home-office budget and a great laptop. A well-earned "Hey, well done Buddy!", so now and then. Fully remote, within Europe. Benefits across the EU: the perks above are AYBI's and go to everyone, everywhere. Statutory benefits (pension, health, social security, leave, sick pay, notice) follow the hire's country via their local contract or EOR. About us All Your BI is a remote-first data agency based in Rotterdam. Since 2019 we've grown from a boutique consultancy into an international data team of more than 60 data heroes spread across Europe. We deliver managed BI services for logistics and industrial companies, helping reduce data waste and move businesses forward. We live

EU/EEA
Tripledot Studios

Data Analyst

Full-time

Who are we? Tripledot Studios is one of the largest independent mobile games companies in the world. We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios. Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users. Tripledot’s guiding principle is that when people love what they do, what they do will be loved by others. We’re building a company we’re proud of. One filled with driven, incredibly smart and detail-orientated people, who LOVE making games. Our ambition is to be the most successful games company in the world, and we’re just getting started. The role is working within our studio: PuzzlePlay Puzzleplay is Tripledot’s new player rewards platform, designed to make playing our games even more fun and engaging. By playing our casual, free to play mobile games, users can earn points, complete challenges, and win real prizes. It’s our way of giving back to players and rewarding them for doing what they already love. Puzzleplay is a key part of our growth strategy, combining smart engagement mechanics with high-quality game content. Role Overview Puzzleplay at Tripledot Studios is looking for a data analyst to own the fraud side of its user segmentation work. The team is building a system that combines fraud and activity signals to understand users and inform revenue-share decisions. You'll work with the analy

EU/EEA

We are seeking an experienced operations professional to manage critical data acquisition infrastructure supporting advanced AI model development. This contract role requires exceptional operational acumen, demonstrated ability to scale complex workflows, and meticulous attention to quality standards across high-volume data collection initiatives. Primary Responsibilities Strategic Operations Management Oversee end-to-end execution of multiple concurrent data acquisition programs encompassing speech, visual, textual, and audio content streams Develop and implement scalable operational frameworks ensuring consistent achievement of volumetric targets while maintaining stringent quality thresholds Drive continuous process improvement through systematic identification and elimination of operational inefficiencies Stakeholder & Contributor Management Design comprehensive contributor engagement strategies optimizing recruitment, onboarding, retention, and successful task completion Establish robust support infrastructure delivering timely resolution of technical and procedural inquiries Cultivate productive relationships with internal stakeholders through transparent communication and data-driven insights Quality Assurance & Compliance Implement rigorous quality control methodologies maintaining data acceptance rates exceeding 95% Ensure strict adherence to data governance protocols, consent management, and regulatory requirements Develop predictive quality indicators enabl

EU/EEA
Full-time

We are looking for a Senior Data Architect with Microsoft Purview for our Big 4 client and their upcoming projects. We're looking for a hands-on architect with real-world experience implementing, configuring, and operating Microsoft Purview in enterprise environments . The role combines data architecture and data governance design with client-facing consulting: you will lead workshops, design solutions, and drive the Purview implementation from setup to day-to-day operation. This is not a purely advisory position. This is a long-term contract position with projects for candidates based in the EU. Responsibilities Lead the implementation and configuration of Microsoft Purview in enterprise client environments. Design data architecture and data governance solutions with Microsoft Purview at the core. Set up and manage metadata management: data source registration and scanning, classifications, business glossary, and lineage. Build and maintain the Data Catalog to enable data discovery across the organisation. Independently prepare and lead client workshops to gather requirements and align on solution design. Act as a consultant to client stakeholders, translating business needs into governance and Purview solutions. Assess design options and recommend pragmatic, scalable, standards-aligned solutions. Produce architecture and governance artefacts: solution designs, design decisions, implementation and operating guidelines. Support the transition of Purview into day-to-day operat

EU/EEA

Seeking Data Curation Contractor for Short-Term Drug Development Project (Remote) Convoke is building the AI-native operating system for drug development. Our mission is to solve one of humanity’s most complex coordination tasks, helping to shepherd the next generation of drugs to market much faster.We are looking for a freelance/contract data specialist for a manual life science dataset curation project. This is a remote role perfect for an experienced professional available for an immediate, short-term engagement. What you'll do: Review and clean datasets related to the drug development pipeline. Identify and correct errors and inconsistencies. Ensure data is standardized to competitive intelligence / business development standards. The Role: Pay: ~$50/hour Hours: 20-40 hours/week (flexible schedule) Duration: Short-term contract, expected to last 2-3 weeks. Requirements: PhD or Master's in biotech or a related life science field. Familiarity with the drug development pipeline (e.g., reads equity research for fun) High attention to detail is essential. Originally posted on Himalayas

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If you are looking for a career at a dynamic company with a people-first mindset and a deep culture of growth and autonomy, ACV is the right place for you! Competitive compensation packages and learning and development opportunities, ACV has what you need to advance to the next level in your career. We will continue to raise the bar every day by investing in our people and technology to help our customers succeed. We hire people who share our passion, bring innovative ideas to the table, and enjoy a collaborative atmosphere. Who we are: ACV is a technology company that has revolutionized how dealers buy and sell cars online. We are transforming the automotive industry. ACV Auctions Inc. (ACV), has applied innovation and user-designed, data driven applications and solutions. We are building the most trusted and efficient digital marketplace with data solutions for sourcing, selling and managing used vehicles with transparency and comprehensive insights that were once unimaginable. We are disruptors of the industry and we want you to join us on our journey. Our network of brands include ACV Auctions , ACV Transportation, ClearCar, MAX Digital and ACV Capital within its Marketplace Products, as well as, True360 and Data Services. At ACV we focus on the Health, Physical, Financial, Social and Emotional Wellness of our Teammates and, to support this, we offer: Multiple medical plans including a high deductible, low cost health plan Company-sponsored (paid) Short-Term Disability, L

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Which data stacks are in demand for remote teams?

Modern remote data teams frequently hire for SQL, dbt, Snowflake, Python, and Kafka streaming architectures.

Experience operating production ETL pipelines with automated testing and data observability receives high match weighting.

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