20 of 20 ETL Jobs in Bristol

discuss how your expertise could strengthen our growing data practice. As a data engineer/scientist, you will: Data Engineering Focus: Design, implement, and maintain scalable data pipelines and ETL processes Develop and maintain data warehouses and data lakes Implement data quality monitoring and validation systems Create and maintain data documentation and cataloguing systems Optimize data storage and retrieval systems More ❯

Product Owner in Agile environments. Ideally experience managing Finance and data products or platforms, ideally data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data modelling, data pipelines, ETL/ELT processes, and APIs. Strong understanding of data quality frameworks, data contracts, and lineage. Proficient in using analytics and BI tools (e.g., Tableau, Power BI, Looker) to drive product More ❯

Product Owner in Agile environments. Ideally experience managing Finance and data products or platforms, ideally data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data modelling, data pipelines, ETL/ELT processes, and APIs. Strong understanding of data quality frameworks, data contracts, and lineage. Proficient in using analytics and BI tools (e.g., Tableau, Power BI, Looker) to drive product More ❯

databases like Snowflake or SQL Server o Hands-on experience with Snowflake including data modelling, optimization, and managing cloud-based data warehousing solutions. o Experience with building and maintaining ETL data pipelines using tools Azure Data Factory o Solid experience with Git for source code management and collaboration in a development environment o Experience using CI/CD best practices More ❯

communicator, able to translate complex data concepts to cross-functional teams Bonus points for experience with: DevOps tools like Docker, Kubernetes, CI/CD Big data tools (Spark, Hadoop), ETL workflows, or high-throughput data streams Genomic data formats and tools Cold and hot storage management, ZFS/RAID systems, or tape storage AI/LLM tools to accelerate data More ❯

databases and a broad understand across data, including storage, access and governance. You will probably have experience across the following: SQL database systems Optimising SQL queries Data warehousing & pipelines ETL Data security Python Azure and related tools such as PowerBI, Fabric, Data Lake, Data Factory An interest in AI/machine learning would also be beneficial. The company operate a More ❯

databases and a broad understand across data, including storage, access and governance. You will probably have experience across the following: SQL database systems Optimising SQL queries Data warehousing & pipelines ETL Data security Python Azure and related tools such as PowerBI, Fabric, Data Lake, Data Factory An interest in AI/machine learning would also be beneficial. The company operate a More ❯

databases and a broad understand across data, including storage, access and governance. You will probably have experience across the following: SQL database systems Optimising SQL queries Data warehousing & pipelines ETL Data security Python Azure and related tools such as PowerBI, Fabric, Data Lake, Data Factory An interest in AI/machine learning would also be beneficial. The company operate a More ❯

re currently looking for multiple Data Engineers to come on board and really own the data capability of the business.You will be designing, building, and maintaining scalable and reliable ETL/ELT pipelines using AWS services. implementing data validation, quality checks, and lineage tracking across pipelines, automate data workflows and integrate data from various sources.Tech you will use and learn More ❯

PER DAY INSIDE IR35 REMOTE ROLE ORGANISATION BASED IN BRISTOL 3-MONTH CONTRACT IMMEDIATE START SKILLS Extensive experience in Azure Data Factory, SQL and Python. Strong understanding of ETL processes. Prior working experience with Databricks and Unity Catalogue. RESPONSIBILITIES Taking Proof of Concept into production. Fixing issues that may arise from the Proof of Concept production process'. The candidate More ❯

PER DAY INSIDE IR35 REMOTE ROLE ORGANISATION BASED IN BRISTOL 3-MONTH CONTRACT IMMEDIATE START SKILLS Extensive experience in Azure Data Factory, SQL and Python. Strong understanding of ETL processes. Prior working experience with Databricks and Unity Catalogue. RESPONSIBILITIES Taking Proof of Concept into production. Fixing issues that may arise from the Proof of Concept production process'. The candidate More ❯

and professional experience Proven experience in leading and delivering complex data migration projects. Strong technical knowledge of data migration tools and techniques. Experience with various data migration methodologies (e.g., ETL, data warehousing). Excellent communication, stakeholder management, and problem-solving skills. Relevant certifications (e.g., Oracle certifications, data management certifications) or equivalent. Experience in a consulting environment. Connect to your business More ❯

driven HealthTech company to find a talented Senior Data Engineer. In this role, you'll work on healthcare data pipelines and platforms, with a strong focus on building robust ETL processes and scalable data architectures. You'll collaborate closely with cross-functional teams to deliver high-quality, reliable data solutions that support impactful health outcomes. You will develop and maintain … our data infrastructure, working with both data processing technologies and storage systems. Your commitment to best practices will be essential as you build secure data pipelines, implement efficient ETL processes following healthcare standards, optimise data workflows for performance, and ensure our data solutions are highly scalable and maintainable. You'll tackle diverse technical challenges across our data stack, emphasizing security … expanding your technical expertise. Your role will be crucial in building scalable, secure data solutions that enhance our ability to deliver quality healthcare services. Key Responsibilities Design and implement ETL pipelines for healthcare data using Python, SQL, and cloud-based tools Develop and maintain data infrastructure on Azure including data lakes, warehouses, and processing frameworks Create robust data transformation processes More ❯

and ML algorithms. Expertise in NLP, with a keen understanding of LLM and RAG technologies. Strong development capabilities, particularly in Python. Experience with data exchange, processing, and storage frameworks (ETL, ESB, API, SQL, NoSQL, and Parquet). Comfort with Agile development methodologies. Excellent teamwork and communication skills, with a talent for translating technical concepts into actionable insights for non-specialists. More ❯

the intersection of data, automation, and customer intelligence . As we scale, we're looking for a talented BI Analyst to join our analytics team and help our clients extract true business value from their data. The Role As a BI Analyst , you will play a critical role in helping our clients understand and optimise their CRM and business performance … BI, Tableau, Looker, Google Data Studio Data Warehousing : Snowflake, BigQuery, Redshift, SQL Server Languages : SQL, DAX, Python (Pandas, NumPy, Scikit-learn - desirable) CRM Systems : Salesforce, HubSpot, Dynamics 365, Zoho ETL Tools : dbt, Fivetran, Talend, Alteryx AI/ML Frameworks (Desirable): Azure ML, AWS Sagemaker, HuggingFace, OpenAI APIs Version Control & DevOps : Git, Azure DevOps, GitHub Actions What We're Looking For More ❯

innovation in overcoming challenges. 5+ years of professional experience in software engineering roles such as Data Engineer, DevOps Engineer, or Integration Engineer, utilizing modern back-end technologies. Experience with ETL tools such as SnapLogic, Boomi, or MuleSoft or experience building your own ETL pipelines. Experience building enterprise API Gateway solutions based around Rest or GraphQL. Experience with SQL, NoSQL or More ❯

ll be working on SAP datacentric data and analytics solutions, ensuring seamless integration with cloud platforms like Snowflake and Databricks. You'll also be designing efficient data models and ETL processes. Working with SAP data extractors This will include BW extractors and CDS views and table extractors to integrate data into target platforms. Internal team development & progression You'll champion … challenges A strong desire to learn and share knowledge Ideally, you'll also have Certification for at least one non-SAP data platform, ideally Snowflake or Databricks Knowledge of ETL tools like SAP Data Services, Matillion, Fivetran or SNP Glue Hands-on experience with data visualisation tools such as Power BI (including data modelling and extraction) Hands-on experience with More ❯

innovation in overcoming challenges. 5+ years of professional experience in software engineering roles such as Data Engineer, DevOps Engineer, or Integration Engineer, utilizing modern back-end technologies. Experience with ETL tools such as SnapLogic, Boomi, or MuleSoft or experience building your own ETL pipelines. Experience building enterprise API Gateway solutions based around Rest or GraphQL. Experience with SQL, NoSQL or More ❯

events Communicate findings clearly to both technical and non-technical teams Apply software engineering practices to improve data systems and pipelines Continuously improve data workflows, quality, and ingestion pipelines (ETL) Stay ahead of trends in data science, reinsurance, and cyber risk What We're Looking For 2-4 years in a data-driven or technical role Strong Python skills with … deep understanding of Pandas Excellent attention to detail and a strong sense of data quality Commercial experience blending data engineering and data science approaches Experience with data ingestion and ETL pipelines Curious, adaptable, and a natural problem solver Bonus points for: Experience in financial services, insurance, or reinsurance Familiarity with Databricks, Git, PySpark or SQL Exposure to cyber risk or More ❯

within MBDA with your insights and experiences in this newly formed international team. Key Responsibilities: Capture internal client needs and requirements across diverse business functions. Employ NLP techniques to extract and clean data, ensuring relevance and accuracy. Design and develop algorithms with a focus on NLP, applying the latest LLM and RAG technologies. Validate algorithm performance and complexity against business … their unique data challenges. Stay abreast of the latest advancements in generative AI and NLP, guiding our technology strategy. Ensure smooth data flow through various exchange and processing techniques (ETL, ESB, API). Lead the way in delivering Agile methodologies for successful and timely project delivery. Leverage strong database skills (SQL, NoSQL, and Parquet) for efficient data storage and management. … and ML algorithms. Expertise in NLP, with a keen understanding of LLM and RAG technologies. Strong development capabilities, particularly in Python. Experience with data exchange, processing, and storage frameworks (ETL, ESB, API, SQL, NoSQL, and Parquet). Comfort with Agile development methodologies. Excellent teamwork and communication skills, with a talent for translating technical concepts into actionable insights for non-specialists. More ❯