301 to 325 of 340 ETL Jobs in England

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 … 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

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

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 … 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

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 … 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

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 … 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

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. … 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

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 … 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

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 … 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

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 … 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

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 … 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

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 … 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

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. … 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

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

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 … 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

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 … 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

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 … 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

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 pipelines that handle large volumes of data efficiently, with low latency. Location/WFH: You'll join a small but growing team based in Central Manchester three days a week with flexibility to work from home the other two days. About

Lead Engineer with a strong data engineering skills (ETL pipeline creation, data warehousing, data visualization etc) and a solid understanding of Database Architecture & Modelling is sought by a high growth PE backed scale up based in Birmingham. With recent investment driving global expansion this Lead Engineer will play a crucial … flexible working alongside a collaborative, autonomous team culture. This Lead Engineer should have most of the following key skills - Strong Data engineering skills including ETL pipeline creation, data warehousing and visualization - Strong database architecture understanding - PostgreSQL, MongoDB, MS SQL - Event sourcing/messaging - Kafka, CQRS etc - Experience working

and improve' the products. Core Skills and Experience Required Development skills in Python Scripting and Microsoft SQL Server (including SSIS) Experience building and operating ETL pipelines with a focus on data quality, lineage and reconciliation Experience with microservices and APIs, building scalable services and integrating with wider enterprise platforms Experience … Risk/Compliance), Techno-Functional Lead (AML/Sanctions), Lead FinCrime Systems Analyst, Senior Business Analyst (AML Systems), Product Owner (AML Technology), Lead ETL/ELT Engineer, Senior Backend Engineer (Python/SQL). Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every

responsibilities: Partner with non-technical, business stakeholders Analyse large datasets to validate requirements and identify gaps - extensive SQL knowledge Understand and evaluate existing ETL processes - ideally Matillion for ETL Work with data engineering function Collaborate on the design of data models Maintain documentation Data Business Analyst, key skills: Proficient … data analysis Solid understanding of ETL - Matillion is preferable Snowflake experience - or understanding of another cloud data warehouse environment Strong analytical mindset Data Business Analyst, Snowflake, Matillion Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and

Tier 1 bank - Canary Wharf - Hybrid - £960 per day (Inside) - C#/Datastage ETL/Databricks/SQL Role - Full Stack Developer Duration - 6 months with very likely extension Location - Hybrid/Canary Wharf - 2 days per week in a Canary Wharf office/3 days WFH Rate … inside IR35) Tech Stack - MUST HAVE C# Datastage ETL Databricks SQL Finance/Banking experience Skills required C# .Net Framework and Object Orientated programming concepts. Oracle and SQL server (PL/SQL & TSQL). .NET Core C# and .NET (Windows & Web) development. Web API development DataStage ETL Databricks Key Responsibilities

Expertise in Pentaho Data Integration for ETL processes. Strong understanding of data warehousing concepts, data modelling, and schema design. Experience with other ETL tools (Informatica, Talend, SSIS) is a plus. Advanced SQL for querying and data manipulation. Familiarity with Java, Python, or VBA for scripting and automation click apply

Development background within Python (Pandas) Strong SQL skills along with JSON, XML and CSV formats Experience of using APIs for data access Experience with ETL processes and pipeline development SC Cleared Within this role, you will be responsible for: Cleaning and processing tabular data (Excel, CSV, databases) Building data transformation … pipelines using Python and pandas Writing SQL queries to extract and manipulate relational data Implementing data validation and quality assurance processes Working with JSON, XML, and CSV formats Supporting metadata cataloguing and reference data management Learning and applying RDF and semantic web concepts Collaborating with subject matter experts on data

bring hands-on experience owning and delivering Azure-based data platforms (Databricks, Synapse), alongside strong technical capability in designing and implementing data ingestion pipelines (ETL/ELT) and introducing event-driven architectures (Kafka) to support scalable, real-time solutions.Our client offers a competitive salary of £120,000–£140,000 , plus … Kafka (essential). Extensive background in regulated industries (finance or banking preferred). Strong experience in large-scale data engineering projects , designing and developing ETL pipelines and leading cloud migration initiatives . Expertise in data migration from SQL Server to Azure Cloud Services .

bring hands-on experience owning and delivering Azure-based data platforms (Databricks, Synapse), alongside strong technical capability in designing and implementing data ingestion pipelines (ETL/ELT) and introducing event-driven architectures (Kafka) to support scalable, real-time solutions.Our client offers a competitive salary of £120,000–£140,000 , plus … Kafka (essential). Extensive background in regulated industries (finance or banking preferred). Strong experience in large-scale data engineering projects , designing and developing ETL pipelines and leading cloud migration initiatives . Expertise in data migration from SQL Server to Azure Cloud Services .