76 to 100 of 1,265 ETL Jobs in the UK

driven systems. Previous work in self-service analytics or AI-powered business intelligence solutions. Experience with Javascript for frontend customization. Experience with Airflow for ETL workflow orchestration. Ensure that you adhere to the Governance, Risk & Compliance (GRC) obligations for your role. Identify and raise any non-compliance incidents promptly to More ❯

to take part in overnight support rota Minimum criteria Significant database experience in Snowflake or Oracle Experience of building a data warehouse using an ETL/ELT tool Star schema/dimensional modelling. Excellent SQL skills Good knowledge of standard data formats (XML, JSON, csv, etc) Proven experience of delivering More ❯

master data management at scale. (Lead essential criteria) Strong proficiency in data modelling, database technologies and designs, building data pipelines, with strong knowledge of ETL, SQL, NoSQL, Data Lakes and AWS cloud-based data solutions. Strong expertise in the full end to end data lifecycle for design, build and test More ❯

a culture of technical excellence within the team. Data Engineering Expertise: Deep understanding of data engineering principles and best practices, including data modeling, observable ETL/ELT processes, data warehousing, and data governance. Proficiency in data manipulation languages (e.g., SQL/DBT) and programming languages relevant to data engineering (e.g. More ❯

maintain scalable and reliable data pipelines. Build and optimize data architectures, data lakes, and data warehouses. Develop ETL/ELT processes to extract, transform, and load data from various sources. Work closely with Insurance Brokers, Insurance Technicians, and the wider business to support their data needs. Implement data quality checks … and experience working with relational and NoSQL databases (e.g., MongoDB). Experience with data workflow orchestration tools (e.g., Dagster). Hands-on experience with ETL/ELT frameworks and transformation tools (e.g., dbt). Proficiency in programming languages such as Python. Experience with cloud platforms such as Azure. Strong understanding More ❯

maintain scalable and reliable data pipelines. Build and optimize data architectures, data lakes, and data warehouses. Develop ETL/ELT processes to extract, transform, and load data from various sources. Work closely with Insurance Brokers, Insurance Technicians, and the wider business to support their data needs. Implement data quality checks … and experience working with relational and NoSQL databases (e.g., MongoDB). Experience with data workflow orchestration tools (e.g., Dagster). Hands-on experience with ETL/ELT frameworks and transformation tools (e.g., dbt). Proficiency in programming languages such as Python. Experience with cloud platforms such as Azure. Strong understanding More ❯

to: Design and Develop Data Pipelines: Create robust pipelines to ingest, process, and transform data, ensuring it is ready for analytics and reporting. Implement ETL/ELT Processes: Develop Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) workflows to seamlessly move data from source systems to Data Warehouses, Data More ❯

in Databricks, PySpark, Knowledge Graphs, Neo4J (Graph database and analytics), Power BI, SSRS, Azure Data Factory, and AI technologies. Strong understanding of data architecture, ETL processes, and data governance. Leadership Skills: Demonstrated ability to lead and inspire teams, manage complex projects, and drive organisational change. Analytical Skills: Strong analytical and More ❯

in Databricks, PySpark, Knowledge Graphs, Neo4J (Graph database and analytics), Power BI, SSRS, Azure Data Factory, and AI technologies. Strong understanding of data architecture, ETL processes, and data governance. Leadership Skills: Demonstrated ability to lead and inspire teams, manage complex projects, and drive organisational change. Analytical Skills: Strong analytical and More ❯

data pipelines, managing data warehousing, and ensuring high-quality data is available for business decision-making. Responsibilities: Data Pipeline Development: Design, build, and maintain ETL (Extract, Transform, Load) processes to enable efficient data ingestion and transformation. Database Management: Support and optimise SQL databases, ensuring performance, reliability, and data integrity. SQL More ❯

AWS, GCP). You have a proven track record working with Databricks (PySpark, SQL, Delta Lake, Unity Catalog). You have extensive experience in ETL/ELT development and data pipeline orchestration (Databricks Workflows, DLT, Airflow, ADF, Glue, Step Functions). You're proficient in SQL and Python, using them More ❯

third-party providers. Knowledge of Lloyds Insurance and Reinsurance, Finance GAAP, Actuarial Reserves, Regulatory Reports, Databases (Data Warehouse, T-SQL, SSIS, SQL Server 2019), ETL processes with Databricks, Programming languages (e.g., Python), AWS, Agile methodologies, Jira, and MS Office products. Educational background with a BSc degree or higher in a More ❯

understanding of standard Enterprise IT solutions and data modelling in a manufacturing and distribution context is essential. Experience with leading BI tools in Azure, ETL, Streaming Data and Data Warehousing such as Synapse Analytics, Power BI, Azure SQL Data Warehouse, ADF and related platforms is crucial. Advanced T-SQL programming More ❯

and develop tools for analytics and reporting environments Contribute to migration, integration, and risk management activities Skills We’re Looking For: Strong experience with ETL tools (SSIS, AWS, or Azure Data Factory) Hands-on experience with cloud data platforms (Azure, AWS) and BI tools (Power BI, Pentaho BA) Solid background More ❯

to reuse existing data flows between teams. Requirements This role requires experience in data engineering with a proven track record in configuring and using ETL platforms as well as setting up and administering AWS or Azure Data Platforms. Given the collaborative nature of the environment, excellent communication skills are also More ❯

BI reports. Connect Power BI to various data sources, including MongoDB, SQL databases, Excel, and cloud services. Design and implement efficient data models and ETL processes using Power Query and DAX. Optimize Power BI performance by fine-tuning data models. Collaborate with data analysts and business stakeholders to gather and More ❯

or Logic Apps. Preferred Qualifications: Experience integrating financial, cloud, and operational data from multiple systems. Familiarity with Azure Data Factory, SQL Server, or similar ETL platforms. FinOps Certified Practitioner certification More ❯

or Logic Apps. Preferred Qualifications: Experience integrating financial, cloud, and operational data from multiple systems. Familiarity with Azure Data Factory, SQL Server, or similar ETL platforms. FinOps Certified Practitioner certification More ❯

mining, and segmentation techniques. Strong knowledge of and experience with reporting packages (Business Objects, Tableau, Power BI), databases (SQL, etc.), programming (XML, JavaScript, or ETL frameworks), and data visualization (Power BI, Tableau, etc.). Demonstrated analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information More ❯

mining, and segmentation techniques. Strong knowledge of and experience with reporting packages (Business Objects, Tableau, Power BI), databases (SQL, etc.), programming (XML, JavaScript, or ETL frameworks), and data visualization (Power BI, Tableau, etc.). Demonstrated analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information More ❯

and support scalable, distributed data warehousing, querying, and reporting systems. Minimum Requirements 2+ years of data engineering experience Experience with data modeling, warehousing, and ETL pipelines Proficiency with query languages such as SQL, PL/SQL, HiveQL, SparkSQL, Scala Experience with scripting languages like Python or KornShell Knowledge of AWS More ❯

conceptual, logical, and physical data modelling Excellent knowledge of metadata management and data governance principles Proficiency in SQL and Python Understanding of data warehousing, ETL processes, and modern data platforms (Azure preferred) Experience with tools such as Visio and data modelling software Strong communication and stakeholder engagement skills Preferred: Experience More ❯

ideally within financial services or commodities trading . Proven experience with Azure , Databricks , and enterprise data lake solutions. Hands-on experience with data modelling , ETL/ELT pipelines , and data integration across multiple systems. Familiarity with tools like Kafka , Spark , and modern API-based architectures . Experience with relational databases More ❯

ideally within financial services or commodities trading . Proven experience with Azure , Databricks , and enterprise data lake solutions. Hands-on experience with data modelling , ETL/ELT pipelines , and data integration across multiple systems. Familiarity with tools like Kafka , Spark , and modern API-based architectures . Experience with relational databases More ❯

SQL and experience with reporting tools like SSRS, Power BI, SSAS, MS SQL Server, and PostgreSQL . Proficiency in data modelling , data frameworks , and ETL tools such as Informatica and SSIS . Experience designing and building regulatory reporting systems —financial services background highly desirable. Familiarity with Agile Scrum delivery and More ❯