151 to 175 of 716 ETL Jobs in the UK

Be Doing: Designing intuitive dashboards, reports, and visualisations to help teams quickly understand key trends and performance metrics Building and maintaining data models to support accurate, insightful analysis Managing ETL processes from multiple data sources Collaborating with a range of stakeholders to gather requirements and deliver tailored BI solutions Supporting training and user adoption for BI tools across the organisation … re Looking For: Proven experience as a BI Developer Strong skills in Power BI (DAX) , SSRS , and SQL Experience working in Azure reporting or data warehouse environments Knowledge of ETL processes (Alteryx experience a plus) Excellent communication skills—able to work with both technical teams and non-technical stakeholders A problem-solving mindset, attention to detail, and a collaborative approach More ❯

into technical solutions. A very strong command of SQL, both Athena and MSSQL A good understanding of methods for data manipulation, analysis, and automation tasks. Experience with Microsoft SSIS ETL pipelines. Experience with AWS tools such as S3, Glue, Redshift, Lambda, and Athena for building scalable data pipelines and architectures. Experience in developing dashboards and reports using MicroStrategy and\or … Amazon QuickSight or similar. Strong analytical skills to troubleshoot data issues and derive actionable insights from complex datasets. Skilled in designing data models and implementing ETL workflows to ensure data quality and readiness for analysis. Ability to create intuitive and interactive dashboards that effectively communicate insights to stakeholders. Knowledgeable in data governance practices, ensuring compliance with data privacy regulations and More ❯

Expert in Microsoft Azure data services and hands-on with Microsoft Fabric (OneLake, Lakehouse, DirectLake, Power BI integration, etc.) would be a distinct advantage. Strong understanding of data modelling, ETL/ELT pipelines, and data warehousing principles. Skilled in designing scalable and secure solutions using best practices and industry frameworks. Excellent communication and stakeholder engagement skills. Bonus Points For Certifications More ❯

Expert in Microsoft Azure data services and hands-on with Microsoft Fabric (OneLake, Lakehouse, DirectLake, Power BI integration, etc.) would be a distinct advantage. Strong understanding of data modelling, ETL/ELT pipelines, and data warehousing principles. Skilled in designing scalable and secure solutions using best practices and industry frameworks. Excellent communication and stakeholder engagement skills. Bonus Points For Certifications More ❯

clean data from multiple sources Building conceptual and physical data models to support reporting and analysis Championing data governance and implementing controls to ensure quality and compliance Developing automated ETL solutions using Microsoft Azure tools Leading best practice in engineering standards, code quality, and peer review Supporting teams through training sessions and knowledge sharing Main Skills Needed: Proven experience in More ❯

models, database design development, data 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 with attention to detail and More ❯

models, database design development, data 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 with attention to detail and 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 ❯

and will enable providing insights to inform strategic decisions both at the Board/Executive level and at the business unit level. Key Responsibilities Design, develop, and maintain scalable ETL pipelines using technologies like dbt, Airbyte, Cube, DuckDB, Redshift, and Superset Work closely with stakeholders across the company to gather data requirements and setup dashboards Promote a data driven culture … to ensure performance and scalability Must Haves 8+ years working in data engineering with large sets of data. Ex: millions of students, transactions. Proven experience in building and maintaining ETL pipelines and data infrastructure Strong experience working with dbt core/cloud Business savvy and capable of interfacing with finance, revenue and ops leaders to build our business intelligence Expertise More ❯

services (BigQuery, Cloud Storage, Dataflow) Proficiency in Power BI for creating reports and dashboards Strong Python skills, including experience with data libraries like Pandas and NumPy Solid background in ETL processes, data pipeline design, and data warehousing Detail-oriented with excellent problem-solving and communication skills Nice to Have: Knowledge of data governance, quality, and security best practices Experience working More ❯

shape the way data is handled across the business, working with modern tools in a fast-moving, high-performance environment. Your responsibilities may include: Build and maintain scalable, efficient ETL/ELT pipelines for both real-time and batch processing. Integrate data from APIs, streaming platforms, and legacy systems, with a focus on data quality and reliability. Design and manage … of experience in data engineering or a related field. Strong programming skills in Java, Python and SQL; familiarity with Rust is a plus. Proven experience designing and maintaining scalable ETL/ELT pipelines and data architectures. Hands-on expertise with cloud platforms (e.g., AWS) and cloud-native data services. Comfortable with big data tools and distributed processing frameworks such as … for architecting and tuning cloud native data lake/warehouse solutions (e.g., AWS S3 + Glue/Redshift, GCP BigQuery, Azure Synapse)? Select What best reflects your experience building ETL/ELT workflows with Apache Airflow (or similar) and integrating them into containerised CI/CD pipelines (Docker, GitHub Actions, Jenkins, etc.)? Select Which option best describes your experience building More ❯

and Business Intelligence (BI) initiatives and projects. Ensure reported data reflects the underlying systems accurately. Assist in the maintenance of data dictionaries and labeling within the data warehouse and ETL systems. Support and mentor team members, fostering a collaborative and resilient team environment. Stay up to date with relevant technologies and maintain technical competencies. Ensure completion of all required training More ❯

and DevOps practices related to database development. Desirable Skills: Experience working with legal systems and understanding the data requirements within the legal industry. Knowledge of data warehousing concepts and ETL processes. Experience with automation and scripting (e.g., PowerShell) for database management tasks. Qualifications: Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent work experience). More ❯

translate them into technical specifications. Ensure data accuracy and integrity across all BI solutions. Implement data models and schemas to support reporting needs. Perform data extraction, transformation, and loading (ETL) processes. Provide training and support to end-users on Power BI tools and reports. Monitor and troubleshoot BI solutions to ensure optimal performance. Stay updated with the latest Power BI … including DAX and Power Query (essential). Experience with SQL and relational databases (essential). Strong analytical and problem-solving skills (essential). Knowledge of data warehousing concepts and ETL processes (desirable). Experience with other BI tools (e.g., Tableau, Qlik) (desirable). Excellent communication and collaboration skills (essential). Ability to work independently and manage multiple tasks (essential). More ❯

and commitment to data accuracy Desirable: Certifications in data management or architecture (e.g., CDMP, TOGAF) Project management experience (Agile methodologies preferred) Familiarity with tools such as SQL, NoSQL, and ETL platforms Benefits 33 days annual leave plus bank holidays 8% employer pension contribution or NHS Pension continuation (if applicable) Enhanced family leave policies Free health cashback plan and employee assistance More ❯

It is personal to all of us.” – Julie Sweet, Accenture CEO Job Qualifications Key responsibilities Deploy machine learning models to production and implement measures to monitor their performance Implement ETL pipelines and orchestrate data flows using batch and streaming technologies based on software engineering best practice Define, document and iterate data mappings based on concepts and principles of data modelling … of different skills which include some of the below. Strong proficiency in Python Extensive experience with cloud platforms (AWS, GCP, or Azure) Experience with: Data warehousing and lake architectures ETL/ELT pipeline development SQL and NoSQL databases Distributed computing frameworks (Spark, Kinesis etc) Software development best practices including CI/CD, TDD and version control. Containerisation tools like Docker More ❯

and mentorship to the team and leading by example across the activities within the Data Programme. REQUIREMENTS: Appropriate professional qualification or equivalent experience Proven competency working with data warehousing, ETL/ELT, integration tools and business intelligence solutions that will help to deliver the data and analytics strategy. Skills with Synapse (notebooks and data flows) is essential for Senior Data More ❯

Qualifications Bachelor's degree with at least 5 years of experience, or equivalent. In-depth knowledge and expertise in data engineering, including: Snowflake (data warehousing and performance tuning) Informatica (ETL/ELT development and orchestration) - nice to have Python (data processing and scripting) - required AWS (data services such as S3, Glue, Redshift, Lambda) - required Cloud data practices and platform - AWS More ❯

data processing and reporting. Data Modelling using the Kimball Methodology. Experience in developing CI/CD pipelines using Gitlab or similar. Comprehensive knowledge of data engineering, data modelling and ETL best practice Experience of working within a global team. Experience of working with multiple stakeholders as part of an Agile team. Experience in developing production-ready data ingestion and processing More ❯

software release and change management process using industry best practices to help DSS maintain legal compliance. Basic Qualifications: 5+ years of experience working on mission critical data pipelines and ETL systems. 5+ years of hands-on experience with big data technology, systems and tools such as AWS, Hadoop, Hive, and Snowflake Expertise with common Software Engineering languages such as Python More ❯

ideally within internal consultancy or transformation environments. Strong experience with PostgreSQL , Power BI , and low-code platforms (Budibase or similar). Solid programming skills, preferably in Python , especially for ETL development and support. Proficiency with version control systems (e.g., GitHub ), with an understanding of best practices for collaboration, review, and deployment. Familiarity with REST APIs , including how to design, consume More ❯

of leading complex data initiatives Strong technical leadership experience, with the ability to guide and develop engineering teams Deep expertise in designing and implementing data architectures, data pipelines, and ETL processes Hands-on experience with cloud platforms (GCP, AWS, Azure) and their data-specific services Proficiency in Python, SQL, and data orchestration tools (e.g., Airflow, DBT) Experience with modern data More ❯

the generation of LEIs and ISINs for the UK to the regulatory reporting systems like EMIR Trade Repository and MiFIR Reporting. All are underpinned by the PTRR Platform, an ETL and visualisation suite developed in-house since 2006. More information can be found here LSEG's Regulatory Reporting LSEG The PTRR Solutions Engineering team traditionally manages the configuration layer of More ❯

business partners Bachelor's degree or higher in STEM or quantitative discipline preferred Preferred Skills: Full spectrum experience with modern data platforms (Snowflake, dbt, Sigma, Alation). Proficient with ETL platforms such as Fivetran and Prefect Hands on experience with data lineage and observability platforms Knowledge of Agile methodologies and project management tools (JIRA, Trello). The duties and responsibilities More ❯

and implementing automated reporting solutions in Power BI Support the operation of the business's applications which support the distribution of data to external customers Data Modelling: Extract, transform, and load data from a variety of sources into Power BI and develop and maintain data models which support data analysis and reporting requirements Collaboration: Work closely with stakeholders to understand More ❯