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 ❯

e.g. Snowflake, BigQuery), or data lakes. Familiarity with data engineering workflows, data tools (dbt, Airflow), and cloud data platforms (AWS, GCP, Azure). Familiarity with data modelling, data pipelines, ETL/ELT processes, and APIs. Knowledge of GDPR, data ethics, and governance practices. Strong understanding of data quality frameworks, data contracts, and lineage. Proficient in using analytics and BI tools 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 ❯

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 ❯

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 ❯

party vendors Key Skills & Experience: Proven background designing and delivering enterprise-scale data platforms Strong knowledge of Microsoft Azure, Databricks, Delta Lake, and data warehousing Advanced data modelling and ETL/ELT optimisation experience Familiarity with regulatory frameworks such as IFRS 17 , BCBS 239 , and UK Data Protection Excellent stakeholder communication and cross-functional collaboration skills Prior experience in a More ❯

party vendors Key Skills & Experience: Proven background designing and delivering enterprise-scale data platforms Strong knowledge of Microsoft Azure, Databricks, Delta Lake, and data warehousing Advanced data modelling and ETL/ELT optimisation experience Familiarity with regulatory frameworks such as IFRS 17 , BCBS 239 , and UK Data Protection Excellent stakeholder communication and cross-functional collaboration skills Prior experience in 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 ❯

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 ❯

a strategic leader the role holder will be expected to work beyond technology to influence decisions and outcomes for the greater good. Job Details Data Platform Operations : Managing production ETL/ELT pipelines and data orchestration frameworks. Ensuring data platform security, compliance, and access controls. Implementing and governing data quality, lineage, observability, and metadata management. Ensuring the sustainability and scalability … best practices to meet quality measures and guarantee the achievement of high-quality outcomes. Skills we would love you to have Proficiency with traditional database and cloud data platform ETL technologies Proficiency with Big Data integration technologies Significant experience of CI/CD, data platform engineering, testing and release principle/best practice Significant experience in a business within a More ❯

the business. We are looking for: Experience as a Product Owner, Product Manager or Agile BA. Proven experience overseeing data products or platforms, particularly customer data platforms. Understanding of ETL/ELT workflows, APIs, data modelling, and pipeline development. Using analytics and BI tools to drive product decisions. Tableau, Power BI and Looker are preferred but not essential. If this More ❯

the business. We are looking for: Experience as a Product Owner, Product Manager or Agile BA. Proven experience overseeing data products or platforms, particularly customer data platforms. Understanding of ETL/ELT workflows, APIs, data modelling, and pipeline development. Using analytics and BI tools to drive product decisions. Tableau, Power BI and Looker are preferred but not essential. If this More ❯

and alerting in place. You will - Build and develop reusable pipelines Work with the team to improve operating efficiencies Deploy production AI models Work with the team to support ETL processes What you'll need to succeed Seasoned knowledge of the Azure Databricks platform and associated functionalities Strong Python programming knowledge, ideally Pyspark A logical and analytical approach to problem 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 ❯

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 ❯

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 ❯

a Senior Data Engineer , you will: Maintain and improve internal data systems and AWS infrastructure. Develop user interfaces and APIs to enhance data accessibility. Manage data integrity and optimize ETL pipelines. Work closely with technical and asset management teams to improve the platform. Identify automation and integration opportunities to drive efficiency. Ensure data security and compliance with GDPR and industry … of experience in Python development (Flask, Django). Strong expertise in AWS cloud environments (EC2, S3, RDS, Redshift, Athena). Experience with SQL databases (PostgreSQL, SQLAlchemy). Knowledge of ETL pipelines, API development, and front-end technologies (HTML, CSS). Experience with Infrastructure as Code tools (Terraform, Pulumi). Why Join? Be part of a fast-growing renewable energy company More ❯

view of progress against solution and business readiness for Engineering tasks. Work with the cross-functional team of SMEs to ensure data quality and lead on all data migration (ETL) cycles for Engineering. Support coordination of Engineering cutover activities for Rotork sites. Support solution deployment through testing, training and go live. Process & Data: Work with global process owners, business analysts More ❯