25 of 25 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 ❯

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 ❯

our technologies, workplaces, and colleagues to make our Group a great place for everyone. Including you. What you'll need Demonstrable experience designing and building scalable data pipelines and ETL/ELT workflows using modern data engineering best practices. Strong understanding of data modelling principles and experience designing data architectures for analytics and operational workloads. Deep familiarity with Google Cloud More ❯

that support decision-making. 2+ years using Business Intelligence tools (Power BI essential; Looker is a plus but not required). Strong SQL skills and a solid understanding of ETL processes and data pipelines. Experience working with data platforms (e.g., Snowflake , AWS , Kleene ) is highly desirable. Exposure to or interest in the financial services, or purpose-driven sectors is a 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 ❯

to Bristol. What You'll Be Doing as a Data Engineer: Design and architect modern data solutions that align with business objectives and technical requirements Design and implement advanced ETL/ELT pipelines using Python, SQL, and Apache Airflow Build highly scalable and performant data solutions leveraging cloud platforms and technologies Develop complex data models to handle enterprise-level analytical … Contribute to the development of the Methods Analytics Engineering Practice by participating in our internal community of practice Requirements Experience in SQL Server Integration Services (SSIS) Good experience with ETL - SSIS, SSRS, T-SQL (On-prem/Cloud) Strong proficiency in SQL and Python for handling complex data problems Hands-on experience with Apache Spark (PySpark or Spark SQL) Experience 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 ❯

Excellent time keeping and task prioritisation skills An ability to provide clear and concise updates An ability to convey technical concepts to all levels of audience Data engineering skills - ETL/ELT Technical implementation skills - application of industry best practices & designs patterns Technical advisory skills - experience in researching technological products/services with the intent to provide advice on system More ❯

data architecture standards, models, and strategy Sound knowledge of modern data architecture approaches-data mesh, fabric, warehouse, etc. Technical background in data modelling, cloud platforms (AWS, Azure, GCP), and ETL/ELT Confident challenging and influencing at senior levels Experience collaborating across technology, engineering, and business leadership Strong communicator able to translate technical ideas for non-technical stakeholders What you 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 ❯

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 ❯

their analytic requirements following best practices such as Kimball star schemas and snowflake schemas, ensuring performance and ease of use for the client. You'll manage the delivery of ETL/ELT processes using tools like Matillion, Informatica, or Talend, adhering to data engineering best practices and incorporating things such as metadata driven ETL approaches and near real-time data … in data migration, integration, and cloud-based data warehousing for enterprise organisations. Proven experience designing data architectures on platforms like AWS, Azure, or GCP. Technical Skills Extensive experience with ETL/ELT tools (e.g. Matillion, Informatica, Talend) and cloud data platforms (e.g., Snowflake, Databricks, BigQuery). Expertise in data modelling techniques (e.g., star schema, snowflake schema) and optimising models for More ❯

of its data. The successful candidate would be: Working in an agile scrum team to design and build data feeds and related applications Writing, testing and peer review of ETL code in Oracle ODI Working with business users to design and configure self-serve data environments within our snowflake data lake Analysing, developing, delivering, and managing BI reports Assisting in … challenges and learning new skills Willingness to take part in overnight support rota Minimum Criteria You'll need all of these. Experience of building a data warehouse using an ETL/ELT tool, preferably Oracle ODI Significant database experience in Snowflake or Oracle Star schema/dimensional modelling. Excellent SQL skills Good knowledge of standard data formats (XML, JSON, csv … of the Customer team, where we work across the business to digitise and improve interactions with our customers and business partners. This could be data transfer from third parties, ETL into the data warehouse or data lake, providing insights and metrics, or improving performance or processes. This is a dynamic team, with data engineers and analysts working closely alongside members More ❯

of its data. The successful candidate would be: Working in an agile scrum team to design and build data feeds and related applications Writing, testing and peer review of ETL code in Oracle ODI Working with business users to design and configure self-serve data environments within our snowflake data lake Analysing, developing, delivering, and managing BI reports Assisting in … challenges and learning new skills Willingness to take part in overnight support rota Minimum Criteria You'll need all of these. Experience of building a data warehouse using an ETL/ELT tool, preferably Oracle ODI Significant database experience in Snowflake or Oracle Star schema/dimensional modelling. Excellent SQL skills Good knowledge of standard data formats (XML, JSON, csv … of the Customer team, where we work across the business to digitise and improve interactions with our customers and business partners. This could be data transfer from third parties, ETL into the data warehouse or data lake, providing insights and metrics, or improving performance or processes. This is a dynamic team, with data engineers and analysts working closely alongside members 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 ❯

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 ❯