1 to 25 of 49 ETL Jobs in the South West

Spark, Databricks, or similar data processing tools. Stron g technical proficiency in data modelin g , SQL, NoSQL databases, and data warehousing . Hands-on experience with data pipeline development, ETL processes, and big data technolo g ies (e. g ., Hadoop, Spark, Kafka). Proficiency in cloud platforms such as AWS, Azure, or Goo g le Cloud and cloud-based More ❯

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 ❯

Architecture is highly desirable; however, a Senior Data Engineer eager to transition into this domain will also be considered. Key Responsibilities: Oversee and lead the design and implementation of ETL/ELT processes to ingest data from the new ERP system into Snowflake. Architect and develop the Snowflake data warehouse to support reporting and analytics, incorporating existing SQL Server-based … system architecture models for seamless data integration, storage, processing, and analytics. Business Analysis: Ability to translate stakeholder requirements into strategic application plans. Business Intelligence: Understanding of data lifecycle from ETL to insight generation. IT Security: Awareness of security challenges and mitigation techniques. Effective Governance: Managing projects, processes, and stakeholder relationships. Service and Supplier Management: Providing high-quality service management and … external vendor oversight. Key Skills & Experience: Essential: Experience with ETL/ELT tools (Matillion preferred) Proficiency with SQL Server and Snowflake or similar cloud data warehousing solutions (Azure, AWS, etc.) Experience supporting analytics and reporting using Kimball methodology Experience with data migration and business logic mapping Proven ability to convert business requirements into solutions Experience with Power BI Desirable: Experience More ❯

SSIS, SSAS, SSRS, and PowerBI). Proficiency in languages such as Python and SQL, commonly used in Azure data processing. Use of Azure Data Factory for designing and managing ETL workflows. Experience with Microsoft Azure, including deploying and managing data solutions in Azure. Use of Azure Logic Apps for workflow orchestration. Ideally experience of Integration of data from external sources More ❯

SSIS, SSAS, SSRS, and PowerBI). Proficiency in languages such as Python and SQL, commonly used in Azure data processing. Use of Azure Data Factory for designing and managing ETL workflows. Experience with Microsoft Azure, including deploying and managing data solutions in Azure. Use of Azure Logic Apps for workflow orchestration. Ideally experience of Integration of data from external sources More ❯

their data processes Bring leadership and gravitas to a business-facing role. Senior Data Engineer: Must-Have Experience: Strong SQL skills and experience with SSIS, SSRS, SSAS Data warehousing, ETL processes, best practice data management Azure cloud technologies (Synapse, Databricks, Data Factory, Power BI) Python/PySpark Proven ability to work in hybrid data environments Ability to manage and lead 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 ❯

design and deliver robust, scalable data solutions that support mission-critical services across the UK. As a Senior Data Engineer, you will take ownership of building and optimising our ETL pipelines, managing large-scale datasets, and implementing cutting-edge data engineering practices using Python and modern Big Data technologies. As a Data Engineer you will be responsible for: Design, build … and maintain robust ETL/ELT pipelines across multiple data sources and formats Develop and optimise scalable data solutions using Python and distributed computing tools Work with structured and unstructured data across on-prem and cloud-based data platforms Support data quality, data governance, and compliance standards across projects Collaborate with data scientists, analysts, and key stakeholders to ensure data … following experience and skills: Proven experience as a Data Engineer, ideally in a senior or lead capacity Strong proficiency in Python for data processing and automation Deep knowledge of ETL/ELT frameworks and best practices Hands-on experience with Big Data tools (e.g. Hadoop, Spark, Kafka, Hive) Familiarity with cloud data platforms (e.g. AWS, Azure, GCP) Strong understanding of 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 ❯

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 ❯

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 ❯

take ownership of high-impact projects immediately. Essential Skills & Experience: Proven expertise in SAS (Viya and/or Enterprise Guide) and Power BI Strong SQL skills and experience with ETL processes Proven ability to translate business requirements into technical solutions Deep understanding of relational databases and data modelling Excellent communication skills — able to explain complex data to non-technical stakeholders More ❯

and grow, a data estate designing and creating modern data platforms to fundamentally transform the data environment. The projects are varied, from setting up new data pipelines, integration/ETL across all the different disparate business systems and all the relevant data flows to BI strategy around AI. You'll be working with all the different business divisions and moving … to a new Azure data solution to release the power and potential of the data across the organisation. We need a few basics from you: Data pipeline creation Strong ETL development experience with Azure Data Factory Datawarehouse and data storage concepts - star schema/snowflake/Kimball Azure Databricks and AI Power BI reporting skills would be advantageous Strong stakeholder More ❯

Gloucester location - hybrid working when possible Must hold active Enhanced DV Clearance (West) Competitive Salary DOE - 6% bonus, 25 days holiday, clearance bonus Experience in Data Pipelines, ETL processing, Data Integration, Apache, SQL/NoSQL Who Are We? Our client is a trusted and growing supplier to the National Security sector, delivering mission-critical solutions that help keep the nation … clients to solve complex challenges, utilising distributed computing techniques to handle large-scale, real-time, and unstructured data. Responsibilities include: Design and develop data pipelines, including ingestion, orchestration, and ETL processing (e.g., NiFi). Ensure data consistency, quality, and security across all processes. Create and maintain database schemas and data models. Integrate and enrich data from diverse sources, maintaining data … clearance (West) Willingness to work full time on site in Gloucester when required. Required technical experience in the following: Apache Kafka Apache NiFI SQL and noSQL databases (e.g. MongoDB) ETL processing languages such as Groovy, Python or Java To be Considered: Please either apply by clicking online or emailing me directly to . For further information please call me on More ❯

in Gloucester Gloucester location – hybrid working when possible Must hold active Enhanced DV Clearance (West) Competitive Salary DOE - 6% bonus, 25 days holiday, clearance bonus Experience in Data Pipelines, ETL processing, Data Integration, Apache, SQL/NoSQL Who Are We? Our client is a trusted and growing supplier to the National Security sector, delivering mission-critical solutions that help keep … clients to solve complex challenges, utilising distributed computing techniques to handle large-scale, real-time, and unstructured data. Responsibilities include: Design and develop data pipelines, including ingestion, orchestration, and ETL processing (e.g., NiFi). Ensure data consistency, quality, and security across all processes. Create and maintain database schemas and data models. Integrate and enrich data from diverse sources, maintaining data … clearance (West) Willingness to work full-time on-site in Gloucester when required. Required technical experience in the following: Apache Kafka Apache NiFI SQL and noSQL databases (e.g. MongoDB) ETL processing languages such as Groovy, Python or Java To be Considered: Please either apply by clicking online or emailing me directly to henry.clay-davies@searchability.com. For further information please call 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 ❯

lakehouse architectures Strong grasp of cloud data platforms (AWS, Azure, GCP, Snowflake) Understanding of Data Mesh , Data Fabric , and data product-centric approaches Familiarity with Apache Spark , Python , and ETL/ELT pipelines Strong knowledge of data governance, lifecycle management, and compliance (e.g. GDPR) Consulting experience delivering custom data solutions across sectors Excellent leadership, communication, and Agile delivery experience Bonus More ❯

processes for various bordereaux (both Risk and Claims) using data ingestion and analysis tools such as Intrali, Quantemplate, or Matillion. The project focuses on the extraction, transformation, and loading (ETL) of data from various sources into data warehouses and data lakes. This is an ideal role for an aspiring Data Architect in the Insurance Industry. Pro operates a hybrid working 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 ❯

as a Data Analyst Managing and manipulating data experience Strong working knowledge of SQL for data analysis (MS-SQL/Databricks - T-SQL, View and table design, Experience of ETL) Expert with PowerBI Advanced MS Excel (Power Query, Power Pivots) Stakeholder management and facilitation of decisions of all sizes Strong presentation skills for engaging senior stakeholders Ability to handle high More ❯