201 to 225 of 727 ETL Jobs in the UK excluding London

experience with data lakehouse architecture (e.g DataBricks,Redshift, Snowflake, BigQuery). Exposure to cloud services and their configuration (e.g AWS). Experience in building and documenting data architectures and ETL/ELT processes, with a strong emphasis on performance, security, and data lineage. Proven ability to apply data engineering best practices (e.g., CI/CD, testing, metadata management) to deliver More ❯

members through technical guidance. Collaborate with stakeholders to deliver user-centric solutions. About the Candidate The ideal candidate will possess the following: Strong understanding of data warehousing, ELT/ETL processes, and data modelling. Proficiency in Azure, Snowflake, and DBT. Experience in application modernisation and migration. Ability to produce clean, testable, maintainable code. CI/CD pipeline implementation and test More ❯

Experience building data lakes and modern data platforms from the ground up. Proficiency with Python, SQL, and orchestration tools such as Airflow or dbt. Strong understanding of data modelling, ETL/ELT processes, and distributed systems. Knowledge of data security, governance, and compliance best practices. Excellent communication skills, with the ability to work collaboratively and influence stakeholders. A growth mindset More ❯

insights. Support the move toward a more automated, analytics-led environment. Skills & Experience Proven experience as a Data Engineer within a modern data or cloud environment. Strong knowledge of ETL/ELT pipeline design and data modelling. Experience with Snowflake (or similar cloud-based data warehouse solutions). Familiarity with integration and automation tools such as Boomi, Celigo, or equivalent. More ❯

insights. Support the move toward a more automated, analytics-led environment. Skills & Experience Proven experience as a Data Engineer within a modern data or cloud environment. Strong knowledge of ETL/ELT pipeline design and data modelling. Experience with Snowflake (or similar cloud-based data warehouse solutions). Familiarity with integration and automation tools such as Boomi, Celigo, or equivalent. More ❯

125k + Bonus About the Role : Build and operate data pipelines and analytics platforms in the cloud. Work with engineers and analysts to design, implement, and maintain reliable, observable ETL/ELT workflows using Airflow and managed cloud services. Focus on Python-first implementations, high-quality SQL, Airflow orchestration, and query engines such as Athena, Trino, or ClickHouse. Required Skills More ❯

work closely with the Director of Analytics and Strategic Data Manager and be responsible for implementing data pipelines in Azure Data Factory and Azyre Databricks, supporting Darewhaoure implementation and ETL process. Location: Hybrid in London Salary: £55,000 to £65,000 + Benefits To be considered: Minimum 3 years of experience working as a Data Engineer within an Azure Environment. More ❯

work closely with the Director of Analytics and Strategic Data Manager and be responsible for implementing data pipelines in Azure Data Factory and Azyre Databricks, supporting Darewhaoure implementation and ETL process. Location: Hybrid in London Salary: £55,000 to £65,000 + Benefits To be considered: Minimum 3 years of experience working as a Data Engineer within an Azure Environment. More ❯

work closely with the Director of Analytics and Strategic Data Manager and be responsible for implementing data pipelines in Azure Data Factory and Azyre Databricks, supporting Darewhaoure implementation and ETL process. Location: Hybrid in London Salary: £55,000 to £65,000 + Benefits To be considered: Minimum 3 years of experience working as a Data Engineer within an Azure Environment. More ❯

Key Responsibilities:- Design, develop, and maintain scalable data pipelines and ETL processes. Collaborate with data analysts and business stakeholders to understand data requirements. Optimize data workflows for performance and reliability. Ensure data quality, integrity, and security across systems. Work with large datasets using tools like Hadoop, Spark, and SAS. Integrate data from various sources including IBM Mainframe systems. Troubleshoot and More ❯

performance tuning and optimization of data processes. Skills required: Proven experience as a Data Architect working within Azure. Expertise in Azure Databricks and Azure Synapse. Strong understanding of Datamodelling, ETL processes, and data warehousing concepts. Proficiency in SQL, Python, and other relevant programming languages. Experience with data governance, data quality, and data security best practices. Excellent problem-solving skills and More ❯

and a deep understanding of operational data needs - especially around workforce planning and customer service analytics. Key Responsibilities: Build and maintain scalable data pipelines and datasets using ELT/ETL best practices Deliver high-quality insights through reporting and analytics Partner with stakeholders to define and implement BI solutions Ensure data quality, system reliability, and performance Support production environments and More ❯

practices and continuous learning within the team* Enforce data quality, governance, and security standards Technical Requirements:* Deep experience with Azure, SQL, Databricks, Azure Data Factory, and medallion architecture* Strong ETL design and hybrid cloud integration skills* Proficiency in Power BI and DAX for dashboard development* Solid understanding of KPI frameworks and dashboarding tools* Proven leadership in data analytics or BI More ❯

the business. What We're Looking For Proven experience leading BI or analytics functions (ideally in tech, SaaS, or payments). Strong technical skills in SQL, data modelling, and ETL . Proficiency with BI tools such as Power BI, Tableau, or Looker. Excellent communication and stakeholder management skills. Strategic thinker with hands-on delivery experience. The client is looking to More ❯

the business. What We're Looking For Proven experience leading BI or analytics functions (ideally in tech, SaaS, or payments). Strong technical skills in SQL, data modelling, and ETL . Proficiency with BI tools such as Power BI, Tableau, or Looker. Excellent communication and stakeholder management skills. Strategic thinker with hands-on delivery experience. The client is looking to More ❯

and Performant SQL. Experience analysing complex business problems and designing workable technical solutions. Excellent knowledge of the SDLC, including testing and delivery in an agile environment. Excellent knowledge of ETL Experience of data warehousing and data lake solutions. Experience working in an Agile environment. This is an excellent opportunity to join a company as it continues to grow and expand More ❯

Hands-on experience with the Azure Data Engineering stack (ADF, Databricks, Synapse, Data Lake) Strong skills in SQL and Python (PySpark experience is a bonus) Experience building and optimising ETL/ELT pipelines A background in Financial Services is a plus, but not essential A curious mindset and the ability to work effectively in a small, high-performing team What More ❯

design, delivery, and optimisation Contributing to major national infrastructure and security programmes with real impact What We’re Looking For Active DV clearance (essential) Strong background in data engineering, ETL, and data pipeline development Experience with AWS or Azure cloud technologies Excellent coding skills in Python, SQL, or Scala Understanding of data warehousing, modelling, and streaming technologies Confident working in More ❯

you'll be doing Develop and optimise SQL scripts, stored procedures and data models in Azure Build and maintain interactive Power BI dashboards and reports Collaborate with Product and ETL teams to ensure data accuracy and alignment Support the build-out of a shared data warehouse and self-service reporting environment What you'll bring 3+ years' experience in BI More ❯

you'll be doing Develop and optimise SQL scripts, stored procedures and data models in Azure Build and maintain interactive Power BI dashboards and reports Collaborate with Product and ETL teams to ensure data accuracy and alignment Support the build-out of a shared data warehouse and self-service reporting environment What you'll bring 3+ years' experience in BI More ❯

enhance team efficiency and data quality. Skills & Experience Strong background in software development and technical leadership. Expertise in C#, .Net, SQL Server, SSIS, and SSAS. Experience in data integration, ETL development, and data warehouse environments. Previous exposure to financial or insurance systems highly desirable. Strong analytical and problem-solving skills with the ability to trace data flow and resolve issues. More ❯

governance, security, and compliance to safeguard organisational information. BI Developer - What will you need? * Strong SQL skills.* Exposure to Azure.* Solid understanding of data modelling principles, warehousing strategies, and ETL processes for robust analytics.* Proven track record of creating impactful Power BI reports and dashboards* Excellent communication abilities.* Strong stakeholder management skills. Robert Walters are proud to specialise in BI More ❯

setting standards for the team. You will be responsible for building a greenfield modern data platform using cutting-edge technologies, architecting big data solutions and developing complex enterprise data ETL and ML pipelines and projections. The successful candidate will have strong Python, PySpark and SQL experience, possess a clear understanding of databricks, as well as a passion for Data Science More ❯

data capabilities Promote and uphold data standards and best practices within the Analytics and Data Engineering team Support and empower data-driven decision-making across the business Carry out ETL processes and validate data for accuracy and completeness Analyse data using SQL and scripting languages such as Python to provide actionable insights Share clear and meaningful insights to guide both More ❯

data capabilities Promote and uphold data standards and best practices within the Analytics and Data Engineering team Support and empower data-driven decision-making across the business Carry out ETL processes and validate data for accuracy and completeness Analyse data using SQL and scripting languages such as Python to provide actionable insights Share clear and meaningful insights to guide both More ❯