1 to 25 of 54 ETL Jobs in the North West

edge technologies to build scalable, high-performance data solutions that meet the evolving needs of our clients. Data Pipeline Development: Design and implement robust ETL/ELT workflows using Databricks to process and transform large datasets efficiently, enabling real-time insights and decision-making. Data Integration: Develop scalable data ingestion more »

Experience with Python or R for data analysis. Familiarity with cloud platforms like AWS, Azure, or Google Cloud. Knowledge of data modeling concepts and ETL processes. Certification in BI tools or related technologies. What We Offer Competitive salary and benefits package. Opportunities for professional development and career growth. A collaborative more »

in the business Programming experience in Python Experience writing, troubleshooting, and debugging advanced SQL queries Outstanding analytical and problem-solving skills Experience working with ETL/ELT, and reporting and analytics tools Skills and experience we’d love you to have… But if not? We’ll help you get there more »

the wider business, delivering and supporting BI reporting when needed. Key Responsibilities : Design and develop scalable data warehousing solutions using Snowflake . Create robust ETL pipelines with tools like Azure Data Factory and LogicApps. Develop PowerBI data models and dashboards to meet reporting needs. Collaborate with Finance SMEs, BI analysts more »

Apps for developing applications and automating workflows. Proficiency in Python scripting for data analysis and automation tasks. Experience with data modeling, data warehousing, and ETL processes. Excellent analytical and problem-solving skills with attention to detail. Strong communication skills and the ability to present complex data insights to non-technical more »

knowledge of data architecture principles, including designing scalable, efficient, and secure data systems Expertise in designing and implementing data warehousing solutions, data lakes, and ETL processes, specifically for financial services data Proficiency in data modelling, both logical and physical, familiarity with data normalization and denormalization techniques is essential Strong understanding more »

with Azure data services (e.g., Azure Data Lake, Azure Synapse Analytics) Knowledge of data modelling and database design principles Familiarity with data integration and ETL processes Key Competencies: Strategic thinking and ability to align data governance initiatives with business goals Strong leadership and influencing skills to drive adoption of data more »

the Data Engineering team whose main function is developing maintaining and improving the end-to-end data pipeline that includes real-time data processing; extract, transform load jobs artificial intelligence and data analytics on a complex and large dataset. You must have strong AWS and Pyspeak experience. Your role will more »

will have: 5+ years of experience in data warehousing and BI, ideally within financial services. Strong analytical mindset with excellent communication skills. Strong SQL, ETL, and data modelling skills, with experience in Qlik (Power BI is a bonus). Knowledge of AWS and cloud architecture. This position does not offer more »

driven future. DATA ENGINEER - ESSTENTIAL SKILLS 2+ years in a data-focused role Proven track record of designing, implementing, and maintaining data pipelines and ETL processes Strong understanding of database concepts, SQL, data modeling, and data integration techniques. Proficiency in programming languages such as Python Experience with data processing frameworks more »

in transforming data into actionable insights: Design & Build Data Pipelines : Craft resilient pipelines to ingest, process, and transform data for analytics and reporting. Implement ETL/ELT Workflows : Seamlessly migrate data to Data Warehouses, Data Lakes, and Lake Houses using cutting-edge AWS and open-source tools. Adopt DevOps Excellence more »

legislation within the financial services market. Technical Proficiency: Skilled in using data modelling tools (Idera ER/Studio or similar such as Erwin). ETL\Data pipeline exposure, ideally with hands on experience on a number of integration tools such as Azure Data Factory and Qlik. Expert level SQL skills. more »

which support an advanced automotive manufacturing environment. Applicants should be able to: Use data science background to identify new opportunities to boost plant efficiency Extract, transform, load, analyse and report complex manufacturing data from multiple data sources Develop and Maintain a range of visualisation products to communicate insights including manufacturing more »

Requirements: British Passport Holder with active UKIC DV (Developed Vetting Clearance) Experience in ingesting, transforming, and integrating diverse data sources into structured assets through ETL processes and automated workflows. Proficiency in distributed computing techniques (parallel processing, streaming, batch orchestration) for managing large data volumes. Skilled in optimizing data systems for more »

Data principles. Oh, and expect lots of variety! Requirements Proficiency in object-oriented Python CI/CD pipelines. Experience with SQL (complex queries) and ETL processes. Strong understanding of cloud-based data storage and processing. Knowledge of coding best practices, parallel computing, and workflow automation. Strong experience with Azure or more »

Data principles. Oh, and expect lots of variety! Requirements Proficiency in object-oriented Python CI/CD pipelines. Experience with SQL (complex queries) and ETL processes. Strong understanding of cloud-based data storage and processing. Knowledge of coding best practices, parallel computing, and workflow automation.Strong experience with Azure or AWS more »

with cloud platforms (AWS, Azure, Google Cloud) Knowledge of data formats and standards such as XML, JSON AND EDIFACT as well as experience with ETL processes Strong problem-solving skills and attention to detail Excellent communication and collaboration skills with ability to work with both technical and non-technical stake more »

and Troubleshooting Ability: Exceptional problem-solving skills with a proactive approach to identifying and resolving technical challenges. Desirable: Experience with data pipeline tools or ETL processes. Familiarity with compliance frameworks like PCI DSS, GDPR. Knowledge of database systems and query languages (e.g. SQL). Prior experience in a role involving more »

a methodical approach with a strong inclination towards troubleshooting. Demonstrates a strong knowledge of and experience with databases (SQL, etc.), programming (XML, JavaScript, or ETL frameworks). Strong analytical skills with the ability to collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy Experience more »

Databricks, Delta Lake, Spark & Python Strong consulting skills with experience delivering complex solutions to enterprise clients Cloud platform experience (Azure preferred) and knowledge of ETL/ELT, data lakes, and real-time processes Why Join Work on impactful, transformational data & AI projects Opportunities for professional growth, leadership, and innovation Competitive more »

of our SaaS clients will be looking for a number of Data Engineers in 2025. What You’ll Do: Design, build, and manage scalable ETL pipelines for healthcare data. Work closely with Data Scientists and Analysts to deliver actionable insights. Ensure data security and compliance with industry regulations (e.g., GDPR more »

be 30% stakeholder gathering, management, working across all the functions in the business including tech, finance, marketing, distribution etc. Commercial working experience with SQL, ETL, PowerBI all a must. Located in the Northwest, commutable from Cheshire, Greater Manchester, Manchester, Merseyside, Staffordshire and surrounding areas. Apply with your most recent CV more »

Manchester) £350/day (Outside IR35) Key responsibilities: Lead design, development, and maintenance of Databricks solutions and databases. Manage workstreams to create solutions that extract, transform, cleanse, and load data (ETL/ELT). Conduct unit, system, and performance tests and creating comprehensive documentation. Follow agile project delivery methodologies. Stay more »

SQL Clustering, AOAG and instance stacking, Azure SQL services and experience of migrating workloads between platforms and versions Experience of hybrid data integration constructing ETL & ELT processes in Azure Data Factory Experience of managing SQL Server through Azure Arc is desirable Good experience of SCOM and monitoring and setting up more »

and query optimization in a high-volume environment. Familiarity with version control systems, such as Git. Knowledge of relational database management systems (RDBMS) and ETL processes. Apply now and a member of the dcoded team will be in contact to discuss further more »