401 to 425 of 455 ETL Jobs in the UK

Leading a team across engineering and integration - Work to ensure the data infrastructure of the business effectively supports analytics, AL, machine learning ML and reporting - Designing of data pipelines, ETL, ELT processes and architecture - Work with internal stakeholders and multiple 3rd parties to seamlessly integrate systems, platforms and applications To be considered suitable for this Data Engineering Manager role you … the following: - Team leadership and guidance - Data engineering and aligning of data to business needs - Cloud technologies (Azure/AWS) - Understanding of Agile methodology - Data warehousing and Data Lakes - ETL/ELT - DevOps understanding - API integrations More ❯

Build and optimise scalable data pipelines for a new Data Lake Work with Python, SQL, Spark, AWS, Docker, CI/CD Orchestrate workflows using Airflow, Prefect, or Dagster Support ETL, API integrations, and high-quality data validation Translate business needs into technical solutions with full ownership What You Need STEM degree (Computer Science, Engineering, Maths, etc.) 2+ years in data … engineering/analytics/software Strong Python + SQL 2+ years ETL, APIs, CI/CD, Docker, AWS Ideally but not essential experience with Airflow/Prefect/Dagster Background in Financial Services, FinTech, Insurance, PE/VC, or Banking Package & Benefits High performance bonus 25 days holiday Pension & private healthcare Join at inception - shape the team and tech stack More ❯

Manage resource planning, scheduling, and performance development. Collaborate with pre-sales and project teams to scope and deliver data projects. Support technical delivery, including cloud migrations, data lakes, and ETL/ELT solutions. Ensure best practices and standards are consistently applied across projects. What We're Looking For Proven leadership skills and ability to foster a collaborative team culture. Strong … hands-on experience in Data Engineering or Data Warehouse development using Microsoft/Azure technologies (Fabric, Databricks, Synapse, Data Factory, SQL Server). Expertise in ETL/ELT processes, SQL, and Python. Knowledge of data lake implementation and medallion lakehouse architecture. Solid understanding of BI, data warehousing concepts, and optimization techniques for large-scale solutions. What's on Offer Competitive More ❯

Manage resource planning, scheduling, and performance development. Collaborate with pre-sales and project teams to scope and deliver data projects. Support technical delivery, including cloud migrations, data lakes, and ETL/ELT solutions. Ensure best practices and standards are consistently applied across projects. What We're Looking For Proven leadership skills and ability to foster a collaborative team culture. Strong … hands-on experience in Data Engineering or Data Warehouse development using Microsoft/Azure technologies (Fabric, Databricks, Synapse, Data Factory, SQL Server). Expertise in ETL/ELT processes, SQL, and Python. Knowledge of data lake implementation and medallion lakehouse architecture. Solid understanding of BI, data warehousing concepts, and optimization techniques for large-scale solutions. What's on Offer Competitive More ❯

BPMN, Groovy and Java APIs Implement metadata ingestion, lineage integrations and custom API/SDK automation Configure and support Collibra Edge, metadata harvesting and ingestion pipelines Integrate Collibra with ETL/ELT, databases and BI tools Optimise platform performance, troubleshoot issues and support upgrades Enable dashboards, KPIs and reporting within Collibra Provide best practices, technical guidance and knowledge transfer to … Skills Strong, hands-on experience with Collibra development Proficiency in BPMN, Groovy, Java, REST APIs Solid SQL skills and experience with major databases (Oracle, PostgreSQL, DB2, BigQuery) Experience with ETL/ELT tools (e.g., Informatica, DataStage) and BI tools (Qlik, Power BI) Good understanding of metadata standards, lineage, reference data and business glossaries Exposure to cloud environments (AWS, GCP, Azure More ❯

and helping shape the future of data infrastructure. The Role You'll be responsible for the day-to-day management of SQL Server and Azure-based data systems, supporting ETL processes, and driving improvements across data platforms. This is a great opportunity for someone who enjoys solving problems, improving systems, and working collaboratively across teams. Key Responsibilities Maintain and manage … SQL Server and Azure data environments Ensure data system security, patching, and performance tuning Support ETL services and data operations Analyse and remediate legacy data structures Contribute to transformation and change initiatives Identify opportunities to improve data processes and suggest solutions Produce high-quality technical documentation Investigate and resolve issues, including root cause analysis Research and develop new technologies and More ❯

deliver successful projects. Technical Delivery & Innovation Support technical delivery when needed, including designing scalable Azure/Microsoft data solutions. Drive innovation through cloud migrations, data lake implementations, and robust ETL/ELT pipeline development. Skills & Experience You'll thrive in this role if you have: Leadership Proven ability to build strong relationships and foster an inclusive, collaborative environment. Demonstrated leadership … for company values. Technical Expertise Strong background in Data Engineering or Data Warehouse development using Microsoft Fabric, Azure Databricks, Synapse, Data Factory, and/or SQL Server. Expertise in ETL/ELT design with SQL and Python. Solid understanding of data lakes, medallion lakehouse architecture, and large-scale dataset management. Strong BI and data warehousing knowledge, including database design and More ❯

deliver successful projects. Technical Delivery & Innovation Support technical delivery when needed, including designing scalable Azure/Microsoft data solutions. Drive innovation through cloud migrations, data lake implementations, and robust ETL/ELT pipeline development. Skills & Experience You'll thrive in this role if you have: Leadership Proven ability to build strong relationships and foster an inclusive, collaborative environment. Demonstrated leadership … for company values. Technical Expertise Strong background in Data Engineering or Data Warehouse development using Microsoft Fabric, Azure Databricks, Synapse, Data Factory, and/or SQL Server. Expertise in ETL/ELT design with SQL and Python. Solid understanding of data lakes, medallion lakehouse architecture, and large-scale dataset management. Strong BI and data warehousing knowledge, including database design and More ❯

engineer/Data Engineering Manager with some management experience Experience handling large datasets, complex data pipelines, big data processing frameworks and technologies Experience with data modelling, Databricks, data integration ETL processes and designing efficient data structures Strong programming skills in Python, Java, or Scala Data warehousing concepts and dimensional modelling experience Any data engineering skills in Azure Databricks and Microsoft … robust, scalable, and aligned data solutions for delivering high-quality care. The ideal candidate will lead the design and execution of cloud-based based scalable data storage solutions, oversee ETL pipeline development and optimisation, establish and manage data schemas and dictionaries, develop data integration solutions, and lead data cleansing, validation, and enrichment processes. Duties include: Working closely with analysts and … working (2 - 3 days per week in the office). To apply, press apply now or send your CV to Keywords: Head of Data Engineering/Azure Databricks/ETL/Python/data modelling Flexible working - Preston - Blackpool - Manchester - Warrington - Liverpool - Bolton - Blackburn Circle Recruitment is acting as an Employment Agency in relation to this vacancy. Earn yourself a More ❯

solving as part of an Agile development using a range of technology to create data pipelines with a focus on Python and Spark; you'll be working with Azure, ETL pipelines and CI/CD, ingesting and analysing terabytes of data with varying structures from a range of sources. You'll be continually learning and picking new things up on … also Apache Spark You believe in automating wherever possible You're a collaborative problem solver with great communication skills Other technology in the stack includes: FastAPI, Django, Airflow, Kafka, ETL, CI/CD, experience with some or all would be beneficial but you'll pick it up on the job What's in it for you: Salary to £100k + More ❯

solving as part of an Agile development using a range of technology to create data pipelines with a focus on Python and Spark; you'll be working with Azure, ETL pipelines and CI/CD, ingesting and analysing terabytes of data with varying structures from a range of sources. You'll be continually learning and picking new things up on … also Apache Spark You believe in automating wherever possible You're a collaborative problem solver with great communication skills Other technology in the stack includes: FastAPI, Django, Airflow, Kafka, ETL, CI/CD, experience with some or all would be beneficial but you'll pick it up on the job What's in it for you: Salary to £100k + More ❯

solving as part of an Agile development using a range of technology to create data pipelines with a focus on Python and Spark; you'll be working with Azure, ETL pipelines and CI/CD, ingesting and analysing terabytes of data with varying structures from a range of sources. You'll be continually learning and picking new things up on … also Apache Spark You believe in automating wherever possible You're a collaborative problem solver with great communication skills Other technology in the stack includes: FastAPI, Django, Airflow, Kafka, ETL, CI/CD, experience with some or all would be beneficial but you'll pick it up on the job What's in it for you: Salary to £100k + More ❯

resolving live issues and provide ongoing testing support. About You Essential: Strong passion for Testing and Quality Assurance. Hands-on experience with functional and non-functional testing – e.g., validating ETL logic and checking data transformations. Skilled in manual and automated testing techniques. End-to-end data pipeline testing experience – e.g., verifying data ingestion from source systems to data lakes. Knowledge … suggesting automation improvements. Willing and able to embrace new ideas, learn new skills and adapt to changing situations or requirements Desirable: Prior experience in the data domain – e.g., testing ETL pipelines, validating data ingestion from multiple sources, or ensuring data quality in analytics platforms. Certifications in automation testing – e.g., ISTQB, Selenium, or Azure Data Factory testing certifications that demonstrate expertise More ❯

Develop clean, well-tested data models that support analytics, experimentation, and operational use cases. Become the subject-matter expert on JustPark’s data and systems. Build and maintain robust ETL/ELT pipelines for analytics and product use. Integrate ML and data science outputs into production environments. Mentor team members and web engineers on event instrumentation, naming standards, analytics quality … while maintaining high data quality and platform stability. Experience with CDC (Change Data Capture) pipelines and tooling. Experience with data orchestration tools i.e. dbt Cloud, Airflow. Knowledge of reverse ETL and event-driven architectures. Exposure to AI, ML led tooling. Benefits Recharge your batteries Generous holiday policy: 25 days + bank holidays + managers have the ability to grant up More ❯

Data Scientist - Remote (Data Scientist, Data Science, Data Analyst, Data Analysis, ETL pipeline, Jupyter notebooks, Python, Azure Data Factory, Cosmos DB, PostgreSQL, QGIS, PostGIS, Statistics, Data Analytics, C# .NET, Data Scientist, Data Science, Data Analyst, Data Analysis) Our client is a prestigious technology company who focus in the Insurance market. They have been a market leader for many years and … client base has never been stronger, with significant growth in the last 12 months. They are looking for a Data Scientist to be responsible for analysing large datasets to extract actionable insights, build predictive models and develop data-driven solutions to complex problems. You will play a major part in data visualization, statistical analysis and collaboration with cross-functional teams … Python and Jupyter notebooks with the capability to source data and communicate and liaise with data providers. You will need an understanding of data licensing and its implications, full ETL pipeline experience and full data lifecycle management knowledge. Essential skills include Jupyter notebooks and Python, strong Data Visualization and presentation, expertise in Data Science and Data Analysis and proficiency in More ❯

week into the office Pension scheme Career progression opportunities City centre parking What you will be doing: Developing and maintaining data integrations between internal and client systems. Building reliable ETL processes to manage and transform large data sets. Working closely with clients and internal teams to support smooth onboarding and data flows. Contributing to the ongoing development of our SaaS … and enjoys finding elegant technical solutions. You’ll bring: Strong C#/.Net Core and SQL skills. Experience working with REST APIs , JSON, and data pipelines. An understanding of ETL processes and data transformation. The ability to collaborate across technical and non-technical teams. Experience with Azure Knowledge of Power BI is a nice to have APPLY NOW via the More ❯

week into the office Pension scheme Career progression opportunities City centre parking What you will be doing: Developing and maintaining data integrations between internal and client systems. Building reliable ETL processes to manage and transform large data sets. Working closely with clients and internal teams to support smooth onboarding and data flows. Contributing to the ongoing development of our SaaS … clearly, and enjoys finding elegant technical solutions. Youll bring: Strong C#/.Net Core and SQL skills. Experience working with REST APIs , JSON, and data pipelines. An understanding of ETL processes and data transformation. The ability to collaborate across technical and non-technical teams. Experience with Azure Knowledge of Power BI is a nice to have APPLY NOW via the More ❯

and troubleshoot data solutions to support business users? You’ll need good coding experience in SQL/Python/R or any other pipeline language to produce high quality ETL/ELT flows and ideally some knowledge of data management and governance. We are hiring for an Analytics Engineer to build, test and deploy, advanced analytical models and visualisations to … are looking for from you: Can translate business needs into technical data requirements and explain to users SQL/Python/R or any other pipeline language to produce ETL/ELT flows Root-cause analysis to test and troubleshoot data solutions using methodical approach Good awareness of data management and governance Desirable Machine Learning and statistics Experience in agile More ❯

skills. As we continue to scale, we're expanding our data engineering capability to strengthen our AI-driven learning ecosystem. WHAT YOU WILL BE DOING: Design, build, and maintain ETL/ELT data pipelines and integrations to support platform and analytics needs. Develop scalable, reliable data architectures using GCP, MongoDB, PostgreSQL, and Python. Collaborate with cross-functional teams to define … e.g. BigQuery, Cloud Storage, Dataflow) and other cloud-based data solutions. Proficiency in Python for scripting and data transformation. Hands-on experience with PostgreSQL and MongoDB. Solid understanding of ETL/ELT processes, data modelling, and data architecture principles. Strong SQL skills and familiarity with performance optimisation techniques. TO BE CONSIDERED... Please either apply online or email me directly at … for us to process (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS: GCP | Python | SQL | MongoDB | Airflow | dbt | Terraform | Docker | ETL | AI | Machine Learning More ❯

data. You’ll be responsible for: Engaging with customers and understanding their requirements. Build secure, scalable pipelines and platforms. Working with technologies such as Databricks and Fabric to create ETL pipelines. Collaborating closely with clients and internal teams to make sure data systems are scalable, reliable, and aligned with business goals. What you’ll bring... Strong understanding of Python, Azure … Databricks and SQL. Experience in building and optimising ETL or ELT pipelines. Knowledge of Delta Lake and Spark for data processing and performance tuning. The ability to adapt quickly, as you’ll be working across multiple client projects and sectors. Strong communication skills are essential – you’ll be the bridge between technical teams and clients, translating complex requirements into actionable More ❯

solving in a data-rich environment. Client Details My client is a London-based University. Description Develop and maintain robust SQL queries to support reporting and analytics Work with ETL tools to manage data pipelines and transformations Build insightful dashboards and reports using BI tools such as Power BI or Tableau Conduct thorough testing to ensure data accuracy and reliability … Collaborate with stakeholders across departments to understand data needs and deliver actionable insights Profile Strong proficiency in SQL Hands-on experience with ETL tools Advanced skills in Power BI or Tableau (Excel is not sufficient) Experience in regression testing Python skills for data manipulation and automation Job Offer Daily rate £300-380 per day, inside IR35, paid in GBP. Part More ❯

Data Platform & Engineering team, you’ll join as the expert within Azure Databricks. You'll help to upskill our teams knowledge of Databricks, get involved in data modelling and ETL pipeline development, integrations, and performance tuning. This is an ever evolving project as the business becomes more and more data driven and your knowledge of Databricks will be pivitol in … highly visible and strategic data platform project.What you’ll be doing: Leading the design and implementation of a new Databricks-based data warehousing solution Designing and developing data models, ETL pipelines, and data integration processes Large scale data processing using PySpark Monitoring, tuning, and optimising data platforms for reliability and performance Upskilling the wider team in Databricks best practices, including More ❯

Data Platform & Engineering team, you ll join as the expert within Azure Databricks. You'll help to upskill our teams knowledge of Databricks, get involved in data modelling and ETL pipeline development, integrations, and performance tuning. This is an ever evolving project as the business becomes more and more data driven and your knowledge of Databricks will be pivitol in … visible and strategic data platform project. What you ll be doing: Leading the design and implementation of a new Databricks-based data warehousing solution Designing and developing data models, ETL pipelines, and data integration processes Large scale data processing using PySpark Monitoring, tuning, and optimising data platforms for reliability and performance Upskilling the wider team in Databricks best practices, including More ❯

Data Engineer/Data Engineering/Data Consultant/Lakehouse/Delta Lake/Data Warehousing/ETL/Azure/Azure Databricks/Python/SQL/Based in the West Midlands/Solihull/Birmingham area, Permanent role, £50,000 - 70,000 + car/allowance (£5,000) + 15% bonus. One of our leading clients is looking …/allowance + bonus Experience: Experience in a Data Engineer/Data Engineering role Large and complex datasets Azure, Azure Databricks Microsoft SQL Server Lakehouse, Delta Lake Data Warehousing ETL Database Design Python/PySpark Azure Blob Storage Azure Data Factory Desirable: Exposure ML/Machine Learning/AI/Artificial Intelligence More ❯

ownership of the data platform, optimising it for scalability to ensure successful client onboarding. You'll use modern tools (such as Airflow, Prefect, Dagster or AWS Step Functions) for ETL design and orchestration, work on transformation logic to clean, validate and enrich data (including handling missing values, standardising formats and duplication), use Redshift for efficient loading strategies and write ETL More ❯