376 to 400 of 571 Remote Data Engineering Jobs

We’re hiring an AI Data Engineer to turn 3D assets and visuals into high-quality datasets for next-gen AI in digital play. Own the full data pipeline and help build scalable, creative systems at the crossroads of AI, data, and fun RESPONSIBILITIES Design and operate data ingestion pipelines for 3D assets, geometry, images, video … annotation vendors, and automate quality checks to ensure scalable, reliable datasets. Define schemas and metadata for digital assets, maintaining catalogues, lineage, and versioning to ensure reproducibility and governance. Enforce data quality, drift detection, and compliance (GDPR/COPPA), including watermarking and traceability to safeguard IP and user privacy. Collaborate with AI infrastructure engineers to optimize data storage and … compute performance for large-scale processing. Work with AI engineers to define data specifications, support experimentation, and integrate active learning loops that improve AI models over time. REQUIREMENTS 2 years of proven experience in data engineering for ML/AI, with strong proficiency in Python, SQL, and distributed data processing (e.g., PySpark). Hands-on experience More ❯

JMAN Group is a fast-growing data engineering & data science consultancy. We work primarily with Private Equity Funds and their Portfolio Companies to create commercial value using Data & Artificial Intelligence. In addition, we also work with growth businesses, large corporates, multinationals, and charities. We are headquartered in London with Offices in New York, London and Chennai. … Our team of over 450 people is a unique blend of individuals with skills across commercial consulting, data science and software engineering. We were founded by cousins Anush Newman (Co-founder & CEO) and Leo Valan (Co-founder & CTO) and have grown rapidly since 2019. In May 2023 we took a minority investment from Baird Capital and in January … a fast-paced start-up. Used to working on smaller projects and tighter teams where you roll your sleeves up. Strong academic background. Confidence with numbers (e.g. financial modelling, data analysis). Tech-toolkit wise, you've probably picked up (and want to grow further) in things like Excel, Tableau, Power Bi, Alteryx, Python, PPT or SQL. Experience effectively More ❯

an AI Engineer on a contract basis. Outside IR35. Hybrid working - London based. Role * The AI Engineer will design, develop, and implement AI and machine learning solutions to support data-driven decision-making and business innovation in pharmaceuticals.* Collaborate with data scientists, data engineers, and business analysts to build scalable AI models for research, development, and commercial … operations.* Develop, test, and optimise machine learning algorithms and predictive models relevant to pharmaceutical data.* Integrate AI models with existing data pipelines, laboratory systems, and business applications.* Ensure the reliability, scalability, and performance of AI systems across multiple platforms.* Maintain clear documentation and contribute to best practices in model governance, regulatory compliance, and MLOps.* Stay abreast of industry trends … Proficient in Python and familiar with key libraries such as TensorFlow, PyTorch, and scikit-learn.* Experience working with cloud platforms such as Azure, AWS, or GCP, ideally within a data engineering or MLOps context.* Strong understanding of data processing, feature engineering, and model evaluation techniques, with experience handling complex scientific datasets.* Excellent problem-solving and analytical More ❯

Salary: .000 € per year Requirements: What you will need to succeed: PhD or MS in Computer Science, Data Science, Statistics or a related quantitative field with scientific background and with 5+ years of relevant experience Strong expertise in data science, Bayesian modeling, probabilistic programming, and uncertainty quantification Hands-on experience with neural network analysis, deep learning frameworks (e.g. … TensorFlow, PyTorch), and model evaluation Proficiency in Python, R, SQL, and data engineering tools such as Spark or Apache Beam and experience in designing, executing, and analyzing A/B tests Ability to develop and optimize ETL pipelines for large-scale data processing Solid understanding of causal inference, time series forecasting, and statistical modeling Hands-on experience … with cloud computing platforms (e.g., AWS, GCP, Azure) and big data tools Knowledge in natural language processing (NLP), reinforcement learning, and graph analytics is preferable Responsibilities: Position Description As a Senior Data Scientist at Cinemo, you will drive data-driven decision-making through cross-functional collaboration on several topics. This role requires a deep understanding of statistics More ❯

solutions for the advertising technology industry, partnering with premium publishers, platforms, and advertisers worldwide. Our mission is to enhance addressability across digital environments, providing best-in-class solutions for data protection and identification. Backed by industry investors, ID5 operates as a remote-first company with a commitment to innovation, inclusion, and global collaboration. Role Overview: As a Senior Platform … that underpins our identity services. You will work across cloud and bare-metal environments to ensure our systems are stable, reliable, scalable, and observable. Partnering closely with product and data teams, you will help define and implement best practices, design fault-tolerant infrastructure, and develop automation and tooling that empower teams across the business. This role is ideal for … an engineer who thrives in agile, data-centric environments and wants to make a direct impact on the future of digital advertising addressability. Key Responsibilities: Own and evolve ID5’s platform, ensuring stability, reliability, scalability, and observability across services. Participate in technical design discussions and contribute platform expertise to architectural decisions. Participate in the on-call rotation to support More ❯

Robert Half Technology are assisting a large, market-leading media company to recruit a Data Analyst on a contract basis. Hybrid working - London based. Role * The Data Analyst will be responsible for collecting, analysing, and interpreting complex data sets to help drive business decisions and optimise performance.* Collaborate with internal stakeholders to understand data requirements and … provide actionable insights.* Build dashboards and reports to visualise key performance indicators and trends using tools such as Power BI and Tableau.* Clean, transform, and validate data to ensure accuracy and consistency.* Identify patterns and trends in data to support strategic planning and operational improvements.* Work closely with the data engineering team to ensure the smooth … flow of data from multiple sources.* Stay up to date with emerging analytics tools and techniques to continuously improve reporting and analysis processes. Profile * The Data Analyst will have proven experience with data analysis, reporting, and visualisation tools such as Power BI, Excel, SQL, and Tableau.* Strong proficiency in SQL for querying and manipulating large datasets.* Experience More ❯

About Data at Holland & Barrett At Holland & Barrett (H&B), we want to empower everyone to live healthier, happier lives. With over 150 years of experience, we're the largest health & wellness retailer in Europe and a globally trusted brand. Our ambition is to become the world's most trusted wellness partner, chosen by over 100 million people worldwide. … into five verticals: four embedded analytics areas aligned to key business functions, and a central Business Intelligence team focused on cross-functional reporting and performance enablement. Together with our Data Engineering and Data Science colleagues, we make data a strategic lever to achieve H&B's goals. As a Senior Category Analyst in the Core Business … to stakeholders Build dashboards in Metabase to monitor supplier-level performance, agreement effectiveness, and compliance. Create analytics which demonstrate commercial optimisation opportunities & targets. Write clean, efficient SQL to analyse data across trading, rebate, promotional, and category-level metrics. Deliver insights that support negotiations, supplier scorecards, and performance reviews. Own analysis of agreement value, rebate accuracy, and deal profitability. Contribute More ❯

re partnering with an award-winning AI & analytics consultancy working across finance, retail, SaaS, and government sectors. They’re expanding their team with an Analytics Engineer passionate about turning data into scalable, real-world solutions. The role: You’ll design and maintain robust data pipelines, optimize cloud data warehouses, and enable analytics and modelling teams with reliable … high-quality data. Expect to work across diverse client projects, collaborating with both internal engineers and client tech teams. Key responsibilities: Build and maintain ETL pipelines and cloud data warehouses (AWS, GCP, Snowflake) Develop custom data connectors (e.g. Salesforce, SAP) Automate data cleansing and transformation workflows Support analytics and AI teams with clean, production-ready data About you: 3+ years in Analytics/Data Engineering Strong SQL and database design skills Proficient in Python or R for automation Hands-on with cloud platforms (AWS/GCP/Azure/Snowflake) Passion for data quality, scalability, and collaboration Nice to have: Experience with SaaS products, analytics tooling, or modern data stack tools More ❯

re partnering with an award-winning AI & analytics consultancy working across finance, retail, SaaS, and government sectors. They’re expanding their team with an Analytics Engineer passionate about turning data into scalable, real-world solutions. The role: You’ll design and maintain robust data pipelines, optimize cloud data warehouses, and enable analytics and modelling teams with reliable … high-quality data. Expect to work across diverse client projects, collaborating with both internal engineers and client tech teams. Key responsibilities: Build and maintain ETL pipelines and cloud data warehouses (AWS, GCP, Snowflake) Develop custom data connectors (e.g. Salesforce, SAP) Automate data cleansing and transformation workflows Support analytics and AI teams with clean, production-ready data About you: 3+ years in Analytics/Data Engineering Strong SQL and database design skills Proficient in Python or R for automation Hands-on with cloud platforms (AWS/GCP/Azure/Snowflake) Passion for data quality, scalability, and collaboration Nice to have: Experience with SaaS products, analytics tooling, or modern data stack tools More ❯

re partnering with an award-winning AI & analytics consultancy working across finance, retail, SaaS, and government sectors. They’re expanding their team with an Analytics Engineer passionate about turning data into scalable, real-world solutions. The role: You’ll design and maintain robust data pipelines, optimize cloud data warehouses, and enable analytics and modelling teams with reliable … high-quality data. Expect to work across diverse client projects, collaborating with both internal engineers and client tech teams. Key responsibilities: Build and maintain ETL pipelines and cloud data warehouses (AWS, GCP, Snowflake) Develop custom data connectors (e.g. Salesforce, SAP) Automate data cleansing and transformation workflows Support analytics and AI teams with clean, production-ready data About you: 3+ years in Analytics/Data Engineering Strong SQL and database design skills Proficient in Python or R for automation Hands-on with cloud platforms (AWS/GCP/Azure/Snowflake) Passion for data quality, scalability, and collaboration Nice to have: Experience with SaaS products, analytics tooling, or modern data stack tools More ❯

re partnering with an award-winning AI & analytics consultancy working across finance, retail, SaaS, and government sectors. They’re expanding their team with an Analytics Engineer passionate about turning data into scalable, real-world solutions. The role: You’ll design and maintain robust data pipelines, optimize cloud data warehouses, and enable analytics and modelling teams with reliable … high-quality data. Expect to work across diverse client projects, collaborating with both internal engineers and client tech teams. Key responsibilities: Build and maintain ETL pipelines and cloud data warehouses (AWS, GCP, Snowflake) Develop custom data connectors (e.g. Salesforce, SAP) Automate data cleansing and transformation workflows Support analytics and AI teams with clean, production-ready data About you: 3+ years in Analytics/Data Engineering Strong SQL and database design skills Proficient in Python or R for automation Hands-on with cloud platforms (AWS/GCP/Azure/Snowflake) Passion for data quality, scalability, and collaboration Nice to have: Experience with SaaS products, analytics tooling, or modern data stack tools More ❯

re partnering with an award-winning AI & analytics consultancy working across finance, retail, SaaS, and government sectors. They’re expanding their team with an Analytics Engineer passionate about turning data into scalable, real-world solutions. The role: You’ll design and maintain robust data pipelines, optimize cloud data warehouses, and enable analytics and modelling teams with reliable … high-quality data. Expect to work across diverse client projects, collaborating with both internal engineers and client tech teams. Key responsibilities: Build and maintain ETL pipelines and cloud data warehouses (AWS, GCP, Snowflake) Develop custom data connectors (e.g. Salesforce, SAP) Automate data cleansing and transformation workflows Support analytics and AI teams with clean, production-ready data About you: 3+ years in Analytics/Data Engineering Strong SQL and database design skills Proficient in Python or R for automation Hands-on with cloud platforms (AWS/GCP/Azure/Snowflake) Passion for data quality, scalability, and collaboration Nice to have: Experience with SaaS products, analytics tooling, or modern data stack tools More ❯

As a Business Intelligence Analyst, you will play a key role in driving data-informed decision-making by delivering insightful analyses and reports. You will contribute to gathering, analysing, and visualising data to uncover trends and actionable insights that enhance business operations, customer satisfaction, and overall performance. Working closely with cross-functional teams, you will leverage tools such … develop, and optimise Power BI dashboards and interactive reports tailored to various stakeholders and needs. Automate and streamline recurring reports to improve efficiency and reduce manual effort. Translate complex data into visually intuitive reports that cater to both technical and non-technical audiences. Write and optimise advanced SQL queries to extract, transform, and analyse data. Design and implement data models to support reporting and analysis needs. Ensure data pipelines are efficient, reliable, and scalable. Track and report on Key Performance Indicators (KPIs) across multiple business areas and divisions. Highlight trends and anomalies to seniors and managers, while also analysing and resolving them to ensure a clear understanding of root causes and implementing necessary solutions. Work closely with More ❯

The Senior Data Engineer will play a pivotal role in developing and optimising data pipelines, ensuring the seamless flow of information across the organisation. The successful candidate will also be heavily involved in supporting our cloud migration project. Client Details Based in Manchester City Centre, we are a leader in our field in the UK and Ireland We … We serve over 35,000 customers with services like electrical testing, asset management, non-destructive testing (NDT), and inspections for infrastructure, manufacturing, and healthcare facilities. Description The Successful Senior Data Engineer will be responsible for but not limited to: · Development and implement data and reporting solutions from our Dynamics, in-house and 3rd party sources, using the latest … Microsoft technologies: Azure Synapse Analytics & Azure Data Factory, Azure Data Lake, Azure SQL Database Support older Microsoft Technologies whilst we are in transition: SSIS and SSRS. Supporting change and migration efforts. Work with other members of the team or directly with business users to understand and document business requirements, Undertake/support the monitoring of BAU processes as More ❯

The Senior Data Engineer will play a pivotal role in developing and optimising data pipelines, ensuring the seamless flow of information across the organisation. The successful candidate will also be heavily involved in supporting our cloud migration project. Client Details Based in Manchester City Centre, we are a leader in our field in the UK and Ireland We … We serve over 35,000 customers with services like electrical testing, asset management, non-destructive testing (NDT), and inspections for infrastructure, manufacturing, and healthcare facilities. Description The Successful Senior Data Engineer will be responsible for but not limited to: · Development and implement data and reporting solutions from our Dynamics, in-house and 3rd party sources, using the latest … Microsoft technologies: Azure Synapse Analytics & Azure Data Factory, Azure Data Lake, Azure SQL Database Support older Microsoft Technologies whilst we are in transition: SSIS and SSRS. Supporting change and migration efforts. Work with other members of the team or directly with business users to understand and document business requirements, Undertake/support the monitoring of BAU processes as More ❯

edge technologies and contribute to impactful projects in a collaborative, innovation-driven environment. Key Responsibilities Design and implement robust machine learning models using modern frameworks and libraries. Collaborate with data scientists, engineers, and stakeholders to translate business requirements into technical solutions. Optimize and deploy models using tools like TensorFlow Serving, TorchServe, ONNX, and TensorRT. Build and manage ML pipelines … using MLflow, Kubeflow, and Azure ML Pipelines. Work with large-scale data using PySpark and integrate models into production environments. Monitor model performance and retrain as needed to ensure accuracy and efficiency. Collaborate with cross-functional teams to integrate AI solutions into scalable products Ensure best practices in data engineering and contribute to architectural decisions Contribute to … the mentoring and development of junior team members. Support senior team members in identifying and addressing data science opportunities. Required Skills & Experience Strong proficiency in Python and ML libraries such as: pandas, NumPy, scikit-learn XGBoost, LightGBM, CatBoost TensorFlow, Keras, PyTorch Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe Familiarity with ML lifecycle tools: MLflow More ❯

Contract Data Analyst – 3 Months (Strong Likelihood to Extend/Convert) | Outside IR35 💻 Remote/London - Some Office requirements throughout 💸 £350 - £375 per day ⚙️ SQL, Python, Excel Burns Sheehan are working with a business looking for a Contract Data Analyst to work alongside a Data Scientist, helping turn data into actionable insights that inform product enhancements … and new data-led initiatives. This is an insight-focused role rather than a reporting-heavy position, so strong technical and analytical skills are essential. You’ll be responsible for: Assessing, profiling, and QA’ing datasets to identify patterns, gaps, and opportunities Partnering with the Data Scientist to surface actionable insights Translating business questions into analytical work and … presenting clear data “stories” to stakeholders Collaborating with BI, Product, and Data Engineering teams to influence product and business decisions What we’re looking for: Excellent SQL and strong Excel skills Intermediate Python experience; exposure to MS BI stack is a plus Ability to communicate complex analysis clearly and manage stakeholders effectively Broad analytical experience, comfortable bridging More ❯

Contract Data Analyst – 3 Months (Strong Likelihood to Extend/Convert) | Outside IR35 💻 Remote/London - Some Office requirements throughout 💸 £350 - £375 per day ⚙️ SQL, Python, Excel Burns Sheehan are working with a business looking for a Contract Data Analyst to work alongside a Data Scientist, helping turn data into actionable insights that inform product enhancements … and new data-led initiatives. This is an insight-focused role rather than a reporting-heavy position, so strong technical and analytical skills are essential. You’ll be responsible for: Assessing, profiling, and QA’ing datasets to identify patterns, gaps, and opportunities Partnering with the Data Scientist to surface actionable insights Translating business questions into analytical work and … presenting clear data “stories” to stakeholders Collaborating with BI, Product, and Data Engineering teams to influence product and business decisions What we’re looking for: Excellent SQL and strong Excel skills Intermediate Python experience; exposure to MS BI stack is a plus Ability to communicate complex analysis clearly and manage stakeholders effectively Broad analytical experience, comfortable bridging More ❯

Contract Data Analyst – 3 Months (Strong Likelihood to Extend/Convert) | Outside IR35 💻 Remote/London - Some Office requirements throughout 💸 £350 - £375 per day ⚙️ SQL, Python, Excel Burns Sheehan are working with a business looking for a Contract Data Analyst to work alongside a Data Scientist, helping turn data into actionable insights that inform product enhancements … and new data-led initiatives. This is an insight-focused role rather than a reporting-heavy position, so strong technical and analytical skills are essential. You’ll be responsible for: Assessing, profiling, and QA’ing datasets to identify patterns, gaps, and opportunities Partnering with the Data Scientist to surface actionable insights Translating business questions into analytical work and … presenting clear data “stories” to stakeholders Collaborating with BI, Product, and Data Engineering teams to influence product and business decisions What we’re looking for: Excellent SQL and strong Excel skills Intermediate Python experience; exposure to MS BI stack is a plus Ability to communicate complex analysis clearly and manage stakeholders effectively Broad analytical experience, comfortable bridging More ❯

Contract Data Analyst – 3 Months (Strong Likelihood to Extend/Convert) | Outside IR35 💻 Remote/London - Some Office requirements throughout 💸 £350 - £375 per day ⚙️ SQL, Python, Excel Burns Sheehan are working with a business looking for a Contract Data Analyst to work alongside a Data Scientist, helping turn data into actionable insights that inform product enhancements … and new data-led initiatives. This is an insight-focused role rather than a reporting-heavy position, so strong technical and analytical skills are essential. You’ll be responsible for: Assessing, profiling, and QA’ing datasets to identify patterns, gaps, and opportunities Partnering with the Data Scientist to surface actionable insights Translating business questions into analytical work and … presenting clear data “stories” to stakeholders Collaborating with BI, Product, and Data Engineering teams to influence product and business decisions What we’re looking for: Excellent SQL and strong Excel skills Intermediate Python experience; exposure to MS BI stack is a plus Ability to communicate complex analysis clearly and manage stakeholders effectively Broad analytical experience, comfortable bridging More ❯

Contract Data Analyst – 3 Months (Strong Likelihood to Extend/Convert) | Outside IR35 💻 Remote/London - Some Office requirements throughout 💸 £350 - £375 per day ⚙️ SQL, Python, Excel Burns Sheehan are working with a business looking for a Contract Data Analyst to work alongside a Data Scientist, helping turn data into actionable insights that inform product enhancements … and new data-led initiatives. This is an insight-focused role rather than a reporting-heavy position, so strong technical and analytical skills are essential. You’ll be responsible for: Assessing, profiling, and QA’ing datasets to identify patterns, gaps, and opportunities Partnering with the Data Scientist to surface actionable insights Translating business questions into analytical work and … presenting clear data “stories” to stakeholders Collaborating with BI, Product, and Data Engineering teams to influence product and business decisions What we’re looking for: Excellent SQL and strong Excel skills Intermediate Python experience; exposure to MS BI stack is a plus Ability to communicate complex analysis clearly and manage stakeholders effectively Broad analytical experience, comfortable bridging More ❯

proven track record in designing and creating ETL pipelines to support major customer initiatives at the early stages of projects. This individual will play a critical role in our data engineering team, contributing to the development and maintenance of robust and scalable data solutions. Responsibilities include the following: Responsibilities: Strong Palantir experience is desirable 🌳 ETL Pipeline Design … and Implementation: Design, develop, and implement efficient and scalable ETL pipelines to support the extraction, transformation, and loading of data from diverse sources. Ensure the pipelines are optimized for performance, reliability, and maintainability. 🌳 AWS Expertise: Utilize AWS services for data storage, processing, and analytics. Leverage AWS technologies such as S3, Glue, Redshift, and others to build and maintain … data solutions. Implement best practices for security and compliance in an AWS environment. 🌳 Python Programming: Demonstrate proficiency in Python programming for data processing and manipulation. Develop custom scripts and applications as needed to enhance ETL processes. 🌳 Collaboration and Communication: Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and More ❯

proven track record in designing and creating ETL pipelines to support major customer initiatives at the early stages of projects. This individual will play a critical role in our data engineering team, contributing to the development and maintenance of robust and scalable data solutions. Responsibilities include the following: Responsibilities: Strong Palantir experience is desirable 🌳 ETL Pipeline Design … and Implementation: Design, develop, and implement efficient and scalable ETL pipelines to support the extraction, transformation, and loading of data from diverse sources. Ensure the pipelines are optimized for performance, reliability, and maintainability. 🌳 AWS Expertise: Utilize AWS services for data storage, processing, and analytics. Leverage AWS technologies such as S3, Glue, Redshift, and others to build and maintain … data solutions. Implement best practices for security and compliance in an AWS environment. 🌳 Python Programming: Demonstrate proficiency in Python programming for data processing and manipulation. Develop custom scripts and applications as needed to enhance ETL processes. 🌳 Collaboration and Communication: Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and More ❯

world of insurance (yes, that word-but trust us, it's not as boring as it sounds). We're always on the lookout for bright minds across Tech, Data, Finance, Marketing, People (HR), Sales, Customer Support and Insurance to join our fast-growing team. So if you're curious about working in a high-growth scale-up, want … always on the lookout for great people! If any of the areas below sound like you, jump into our talent pool and let's see where things go: Tech & Engineering (Frontend, Backend, Full Stack, DevOps, QA) Data & Analytics (Data Engineering, Analytics, Data Science) Product Management & Design Sales & Partnerships Marketing & Brand Insurance Operations, Claims, Compliance & Underwriting More ❯

AI) , you will lead the design, integration, testing, and deployment of Agentic AI applications . This is a hands-on role requiring deep technical expertise in cloud infrastructure, APIs, data engineering, and enterprise connectivity . You will also be responsible for troubleshooting, DevOps, and facilitating cross-platform integration in a hybrid working environment. Key Responsibilities: System Integration & Architecture … Production environments. Manage CI/CD pipelines using Azure DevOps . Access & Security Management Implement authorization code flows and manage access tokens for user profile extraction. Coordinate with cloud engineering teams to provision secure access to Databricks Mosaic AI and other services. Skills, Experience, and Abilities Required: Deep knowledge of cloud infrastructure , APIs , data engineering , and enterprise … multiple environments (SIT, UAT, Production). In-depth understanding of access and security management , including authorization flows and access tokens. Ability to coordinate with cross-functional teams and cloud engineering specialists. More ❯