76 to 100 of 178 Remote Data Ingestion Jobs

to trading markets for our regional business units, to bundle the associated chances and risks plus to provide innovative services. Our core competencies include portfolio strategies, risk management and data processing. With activities in various European countries, we shape the future of energy. At E.ON diversity matters. We welcome all people and are convinced that differences make us stronger. … wait to meet you! It's on us, to make new energy work. Responsibilities Cross-Functional Collaboration: Partner with stakeholders across business units to translate complex requirements into robust data-driven technical solutions, integrating data engineering and software development. Hands-On Development: Build and optimize data pipelines using modern programming languages and frameworks, with a focus on … Python/Pyspark/Snowpark for development and integration. Data Pipeline and Warehousing Optimization: Design, implement, and maintain efficient data workflows and data warehousing solutions using tools like Snowflake to ensure seamless data ingestion, transformation, storage, and retrieval. Cloud-Native Solutions: Leverage Azure cloud platforms to deploy scalable data and software solutions, incorporating serverless More ❯

to trading markets for our regional business units, to bundle the associated chances and risks plus to provide innovative services. Our core competencies include portfolio strategies, risk management and data processing. With activities in various European countries, we shape the future of energy. At E.ON diversity matters. We welcome all people and are convinced that differences make us stronger. … wait to meet you! It's on us, to make new energy work. Responsibilities Cross-Functional Collaboration: Partner with stakeholders across business units to translate complex requirements into robust data-driven technical solutions, integrating data engineering and software development. Hands-On Development: Build and optimize data pipelines using modern programming languages and frameworks, with a focus on … Python/Pyspark/Snowpark for development and integration. Data Pipeline and Warehousing Optimization: Design, implement, and maintain efficient data workflows and data warehousing solutions using tools like Snowflake to ensure seamless data ingestion, transformation, storage, and retrieval. Cloud-Native Solutions: Leverage Azure cloud platforms to deploy scalable data and software solutions, incorporating serverless More ❯

Go Backend Engineer (Data Platform & APIs) - Northern Ireland (Remote-first) * Salary: £75,000-£150,000 + bonus + benefits About the Company: Our client is scaling an ML-driven data and analytics platform and modernizing their engineering standards. Their current stack includes Python, GoLang, TensorFlow, PyTorch, AWS, and Kubernetes , with a focus on building scalable, ML-driven data … now with further expansion in 2026 and building a high-impact team in Northern Ireland. The Role: You'll build robust backend services in Go that power both the data platform (data lake, pipelines, model serving) and product-facing APIs . You'll collaborate with Data Science (leaders, DS, ML engineers, data engineers) to standardize tooling … clear ownership, modern cloud infrastructure, and working at the intersection of Go + ML platforms . What You'll Do: Platform & ML Enablement * Design and implement Go services for data ingestion, transformation, and orchestration on AWS & Kubernetes * Integrate with Python-based ML services (TensorFlow/PyTorch), enabling model training, evaluation, and real-time/batch inference * Help standardize More ❯

a few. This role is based in Finland, and can be located at either our Helsinki or Tampere offices, or remotely from the UK. Key Responsibilities Designing and optimizing data solutions in a cloud environment Integrating data pipelines with external services through APIs Enforcing data security measures, including encryption and access controls Designing data solutions adhering … to regulatory requirements (e.g., GDPR, HIPAA)Implementing metadata repositories for tracking data lineage and dependencies Building data solutions leveraging different data ingestion methods and technologies Skills, Knowledge And Expertise Must have: Experience with cloud-based technologies (such as Azure) Proficiency in designing and implementing complex system integrations Experience with Python and .NET Experience in implementing data … Pandas In-depth knowledge of various database system technologies (relational, document, columnar, etc.) Understanding and experience with relational databases and implementation of OLTP and OLAP systems Professional experience in data modeling and database optimisation Nice to have: Experience in implementing version control for data artifacts Expertise in data migration strategies Familiarity with machine learning integration Knowledge and More ❯

engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. At Goldman Sachs, our culture is one of teamwork, innovation and meritocracy. We often say our people are our greatest asset and we take pride in supporting … area. This is a dynamic, entrepreneurial team with a passion for technology and the markets, with individuals who thrive in a fast-paced, changing environment. The team takes a data driven approach to decision making and you should be willing to participate in the full product lifecycle from requirements gathering, design,implementation, testing, support, and monitoring performance of systems … our clients. Responsibilities Design, build and maintain a high-performance, high-availability, high-capacity, yet nimble and adaptive platform for transaction cost analytics and execution research Develop highly reliable data ingestion processes to consume large volumes of data emitted by trading and market data systems. Design distributed computation infrastructure and libraries to run parallelized queries over More ❯

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 … 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 with More ❯

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 … 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 with More ❯

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 … 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 with More ❯

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 … 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 with More ❯

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 … 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 with More ❯

Business Product Owner, Data Analytics, Azure, Data Engineering, AI, ML, Azure, Mainly Remote Product Owner (Technical and Business) required to join a global Professional Services business based in Central London. However, this is practically a remote role, but when travel is required (to London, Europe and the States on occasions. We need someone who has worked on LARGE … and SIGNIFICANT products for large enterprise businesses. If you have come from the Big 4 on the Professional Services circuit, even better! The platform primarily serves two key personas: Data and Intelligence Delivery specialists, who manage data ingestion, transformation, and orchestration processes, and Assurance professionals, who use the analysers to enhance audit quality and client service. This … being said, we need DATA HEAVY Product Owners who have managed complex, Global products. Read on for more details Experience required: Technical proficiency:Familiarity with Azure services (e.g., Data Lake, Synapse, Fabric) and Databricks for data engineering, analytics, performance optimisation, and governance. Experience with implementing and optimising scalable cloud infrastructure is highly valued. Backlog management:Demonstrated expertise More ❯

Business Product Owner, Data Analytics, Azure, Data Engineering, AI, ML, Azure, Mainly Remote Product Owner (Technical and Business) required to join a global Professional Services business based in Central London. However, this is practically a remote role, but when travel is required (to London, Europe and the States on occasions. We need someone who has worked on LARGE … and SIGNIFICANT products for large enterprise businesses. If you have come from the Big 4 on the Professional Services circuit, even better! The platform primarily serves two key personas: Data and Intelligence Delivery specialists, who manage data ingestion, transformation, and orchestration processes, and Assurance professionals, who use the analysers to enhance audit quality and client service. This … being said, we need DATA HEAVY Product Owners who have managed complex, Global products. Read on for more details... Experience required: Technical proficiency: Familiarity with Azure services (e.g., Data Lake, Synapse, Fabric) and Databricks for data engineering, analytics, performance optimisation, and governance. Experience with implementing and optimising scalable cloud infrastructure is highly valued. Backlog management: Demonstrated expertise More ❯

to £475 Per day inside IR35 Long term contract Remote UK/EU We're looking for a BE Engineer to design and build high-quality backend systems and data pipelines that power the analytics platform. You'll collaborate with engineers and the Product team across the full software lifecycle, leading on scalable services that ingest, transform and deliver … data to our frontend applications and customers. You'll bring strong Python skills, experience with microservices and data ingestion/ETL pipelines , and an eye for clean, maintainable code. Familiarity with AI-assisted dev tools (GitHub Copilot, Cursor, Windsurf, Devin) is a plus — we encourage using them to boost developer velocity and quality. What you'll do … Design and implement robust, scalable backend services in Python Own and improve data ingestion & processing pipelines Advocate for software best practices (testing, CI/CD, clean code) Integrate APIs and third-party services Mentor teammates and share knowledge What we're looking for 5–7+ years' experience building production software Proficiency in Python and microservices architecture Experience with More ❯

Data Engineer £700/day outside IR35 3-month initial contract Remote working - occasional site visits Working with a leading financial services client who are looking for a Data Engineering Consultant. Looking for someone who can act independently and deliver complex data products - work with stakeholders to understand requirements, engineer and deliver products. Data Engineering Consultant … key responsibilities: Work cross-functionally with non-technical stakeholders to understand data requirements Expert knowledge of SQL to query, analysis and model data Experience with Snowflake Using DBT for data transforms and modelling Data ingestion using Python Build foundations for business functions to be able to access the correct data and insights Experience working More ❯

/day Inside IR35 | Hybrid London (23 Days Office) A hands-on ClickHouse Engineer is required for a leading Energy Trading House undertaking a major transformation of its data platform migrating from traditional SQL-based systems to ClickHouse . This client operates across physical and financial energy markets, with a strong focus on analytics, optimisation, and real-time data processing to support trading and risk decisions. This role will focus on designing, building, and optimising the new ClickHouse data architecture , ensuring scalability, performance, and integration with existing trading systems. Youll play a key role in refactoring existing SQL pipelines, enhancing data models, and implementing best practices for high-volume, low-latency data operations. This system … get into the industry if you have the right tech. ClickHouse is the silver bullet here - other acceptable alternatives are SingleStore, Rockset, TimescaleDB Key Responsibilities: Design and implement scalable data solutions within ClickHouse . Migrate existing SQL data models, ETL pipelines, and reporting layers to ClickHouse. Optimise query performance, data ingestion, and storage for high-frequency More ❯

/day Inside IR35 | Hybrid London (23 Days Office) A hands-on ClickHouse Engineer is required for a leading Energy Trading House undertaking a major transformation of its data platform migrating from traditional SQL-based systems to ClickHouse . This client operates across physical and financial energy markets, with a strong focus on analytics, optimisation, and real-time data processing to support trading and risk decisions. This role will focus on designing, building, and optimising the new ClickHouse data architecture , ensuring scalability, performance, and integration with existing trading systems. Youll play a key role in refactoring existing SQL pipelines, enhancing data models, and implementing best practices for high-volume, low-latency data operations. This system … get into the industry if you have the right tech. ClickHouse is the silver bullet here - other acceptable alternatives are SingleStore, Rockset, TimescaleDB Key Responsibilities: Design and implement scalable data solutions within ClickHouse . Migrate existing SQL data models, ETL pipelines, and reporting layers to ClickHouse. Optimise query performance, data ingestion, and storage for high-frequency More ❯

/day Inside IR35 | Hybrid London (23 Days Office) A hands-on ClickHouse Engineer is required for a leading Energy Trading House undertaking a major transformation of its data platform migrating from traditional SQL-based systems to ClickHouse . This client operates across physical and financial energy markets, with a strong focus on analytics, optimisation, and real-time data processing to support trading and risk decisions. This role will focus on designing, building, and optimising the new ClickHouse data architecture , ensuring scalability, performance, and integration with existing trading systems. Youll play a key role in refactoring existing SQL pipelines, enhancing data models, and implementing best practices for high-volume, low-latency data operations. This system … get into the industry if you have the right tech. ClickHouse is the silver bullet here - other acceptable alternatives are SingleStore, Rockset, TimescaleDB Key Responsibilities: Design and implement scalable data solutions within ClickHouse . Migrate existing SQL data models, ETL pipelines, and reporting layers to ClickHouse. Optimise query performance, data ingestion, and storage for high-frequency More ❯

/day Inside IR35 Hybrid London (2-3 Days Office) A hands-on ClickHouse Engineer is required for a leading Energy Trading House undertaking a major transformation of its data platform - migrating from traditional SQL-based systems to ClickHouse . This client operates across physical and financial energy markets, with a strong focus on analytics, optimisation, and real-time … data processing to support trading and risk decisions. This role will focus on designing, building, and optimising the new ClickHouse data architecture , ensuring scalability, performance, and integration with existing trading systems. You'll play a key role in refactoring existing SQL pipelines, enhancing data models, and implementing best practices for high-volume, low-latency data operations. … get into the industry if you have the right tech. ClickHouse is the silver bullet here - other acceptable alternatives are SingleStore, Rockset, TimescaleDB Key Responsibilities: Design and implement scalable data solutions within ClickHouse . Migrate existing SQL data models, ETL pipelines, and reporting layers to ClickHouse. Optimise query performance, data ingestion, and storage for high-frequency More ❯

/day Inside IR35 | Hybrid London (2–3 Days Office) A hands-on ClickHouse Engineer is required for a leading Energy Trading House undertaking a major transformation of its data platform — migrating from traditional SQL-based systems to ClickHouse . This client operates across physical and financial energy markets, with a strong focus on analytics, optimisation, and real-time … data processing to support trading and risk decisions. This role will focus on designing, building, and optimising the new ClickHouse data architecture , ensuring scalability, performance, and integration with existing trading systems. You’ll play a key role in refactoring existing SQL pipelines, enhancing data models, and implementing best practices for high-volume, low-latency data operations. … get into the industry if you have the right tech. 🌟 ClickHouse is the silver bullet here - other acceptable alternatives are SingleStore, Rockset, TimescaleDB Key Responsibilities: Design and implement scalable data solutions within ClickHouse . Migrate existing SQL data models, ETL pipelines, and reporting layers to ClickHouse. Optimise query performance, data ingestion, and storage for high-frequency More ❯

/day Inside IR35 | Hybrid London (2–3 Days Office) A hands-on ClickHouse Engineer is required for a leading Energy Trading House undertaking a major transformation of its data platform — migrating from traditional SQL-based systems to ClickHouse . This client operates across physical and financial energy markets, with a strong focus on analytics, optimisation, and real-time … data processing to support trading and risk decisions. This role will focus on designing, building, and optimising the new ClickHouse data architecture , ensuring scalability, performance, and integration with existing trading systems. You’ll play a key role in refactoring existing SQL pipelines, enhancing data models, and implementing best practices for high-volume, low-latency data operations. … get into the industry if you have the right tech. 🌟 ClickHouse is the silver bullet here - other acceptable alternatives are SingleStore, Rockset, TimescaleDB Key Responsibilities: Design and implement scalable data solutions within ClickHouse . Migrate existing SQL data models, ETL pipelines, and reporting layers to ClickHouse. Optimise query performance, data ingestion, and storage for high-frequency More ❯

/day Inside IR35 | Hybrid London (2–3 Days Office) A hands-on ClickHouse Engineer is required for a leading Energy Trading House undertaking a major transformation of its data platform — migrating from traditional SQL-based systems to ClickHouse . This client operates across physical and financial energy markets, with a strong focus on analytics, optimisation, and real-time … data processing to support trading and risk decisions. This role will focus on designing, building, and optimising the new ClickHouse data architecture , ensuring scalability, performance, and integration with existing trading systems. You’ll play a key role in refactoring existing SQL pipelines, enhancing data models, and implementing best practices for high-volume, low-latency data operations. … get into the industry if you have the right tech. 🌟 ClickHouse is the silver bullet here - other acceptable alternatives are SingleStore, Rockset, TimescaleDB Key Responsibilities: Design and implement scalable data solutions within ClickHouse . Migrate existing SQL data models, ETL pipelines, and reporting layers to ClickHouse. Optimise query performance, data ingestion, and storage for high-frequency More ❯

enhancing the organisation's Logging, Monitoring, and Alerting (LMA) capability, working on the design, maintenance, and optimisation of Elastic stacks and clusters. The role requires hands-on experience with data ingestion pipelines, performance tuning, and building effective visualisations from large data sets. Key Skills & Experience: 2+ years as an ELK SME (Elastic, Logstash, Kibana) Proven experience designing … managing, and tuning large Elastic clusters Strong skills in data ingestion pipelines and indexing best practices Knowledge of visualisation techniques in Elasticsearch Background in software development, infrastructure engineering, and operations Location: Edinburgh/Glasgow (on-site 2 days per week on average, flexibility required) This is a fantastic opportunity for a motivated, hands-on engineer to contribute to More ❯

AI Engineer/Machine Learning Specialist with Data Engineering Experience Outside IR35 and Fully Remote - £300 per day - 6 Month Contract Intially Candidates can be base anywhere in the UK We are seeking a technically strong AI Engineer or Machine Learning Specialist to join a dynamic team working on cutting-edge Gen AI and data science initiatives. The … candidate will have hands-on experience in developing and deploying machine learning models, working with large datasets, and applying AI techniques to solve real-world problems. A background in data engineering is highly advantageous, enabling the candidate to contribute across multiple areas of the project lifecycle. Key Responsibilities Design, build, and deploy machine learning models and Gen AI solutions … to support business and operational objectives. Collaborate with data scientists, engineers, and stakeholders to translate requirements into scalable AI-driven solutions. Work with structured and unstructured data, applying techniques such as NLP, predictive modelling, and deep learning. Develop and maintain data pipelines and infrastructure to support model training, evaluation, and deployment. Apply best practices in model performance More ❯

AI/Data Developer - Contract - SC Cleared - £500 - £600pd (Outside of IR35) - Hybrid working Our client, a leading deep-tech organisation, is seeking an experienced AI/Data Developer for an urgent contract assignment. Key Requirements: Proven background in AI and data development Strong proficiency in Python , including data-focused libraries such as Pandas, NumPy, and … PySpark Hands-on experience with Apache Spark (PySpark preferred) Solid understanding of data management and processing pipelines Experience in algorithm development and graph data structures is advantageous Active SC Clearance is mandatory Role Overview: You will play a key role in developing and delivering advanced AI solutions for a Government client . Responsibilities include: Designing, building, and maintaining … data processing pipelines using Apache Spark Implementing ETL/ELT workflows for large-scale data sets Developing and optimising Python-based data ingestion tools Collaborating on the design and deployment of machine learning models Ensuring data quality, integrity, and performance across distributed systems Contributing to data architecture and storage strategy design Working with cloud More ❯

days onsite per week) Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and scalable data … support advanced analytics and intelligent automation initiatives. This role offers a hybrid work arrangement , combining flexibility with collaboration, and is ideal for a contractor who thrives in fast-paced, data-driven environments. Key Responsibilities Design, build, and deploy machine learning models and AI-driven solutions to address business challenges. Collaborate with data scientists to transition prototypes into production … ready systems . Develop and maintain end-to-end ML pipelines for data ingestion, training, testing, and deployment. Optimise model performance, scalability, and reliability using MLOps best practices. Work with large-scale structured and unstructured datasets for model training and validation. Implement model monitoring, versioning, and retraining processes to ensure continuous improvement. Collaborate cross-functionally with engineering, data More ❯