1 to 25 of 61 ETL Jobs in the Midlands

implementing data engineering best-practice (e.g., source-to-target mappings, coding standards, data quality, etc.), working closely with the external party who setup the environment . Create and maintain ETL processes, data mappings & transformations to orchestrate data integrations. Ensure data integrity, quality, privacy, and security across systems, in line with client and regulatory requirements. Optimize data solutions for performance and … up monitoring and data quality exception handling. Strong data modelling experience. Experience managing and developing CI/CD pipelines. Experience with Microsoft Azure products and services, and proficiency in ETL processes. Experience of working with APIs to integrate data flows between disparate cloud systems. Strong analytical and problem-solving skills, with the ability to work independently and collaboratively. The aptitude More ❯

time data streaming, batch data processing and data transformation processes Experience with core tools such as Data Factory, Databricks, Synapse, Kafka and Python Any exposure to data migration/ETL would be highly beneficial, with SQL/T-SQL, SSIS, SSRS and SSAS, as there is a large data migration project planned Any previous experience with setting up data governance … and processes would be highly beneficial Good proficiency in Power BI and Tableau Strong knowledge of data integration techniques and ETL/ELT processes Experience with data modelling, data warehousing, and data governance best practices More ❯

and mentoring a team of data engineers, setting standards and best practices. Architecting and building end-to-end data solutions and streaming platforms. Designing and implementing data pipelines and ETL workflows using Pentaho BA. Creating engaging BI reports and dashboards using Power BI. Managing cloud-based data environments (AWS, Azure), ensuring scalability and resilience. Collaborating on project planning, risk management … environments. Essential experience includes: 5+ years in data engineering with leadership responsibilities. Deep expertise in AWS and/or Azure data platforms and services. Proficiency with Pentaho BA for ETL processes and data workflows. Strong skills in Power BI, Python, and Java. Agile development experience and a pragmatic, team-first approach. Excellent problem-solving and communication skills, including the ability … SSIS, AWS or Azure Data Factory. Familiarity with Hadoop, Jenkins, or DevOps practices including CI/CD. Cloud certifications (Azure or AWS). Knowledge of additional programming languages or ETL tools. This is a fantastic opportunity to take a leadership role on meaningful, large-scale government programmes while continuing to develop your skills and experience in an inclusive, innovative environment. More ❯

BI reporting. * Conveying technical concepts to non-technical stakeholders across the business. Senior Data Engineer - What will you need? * Extensive Data Warehouse Experience. * Proficiency in Azure: Azure Data Factory (ETL), Azure SQL Server, Azure DevOps, Key Vaults and Logic Apps. * Strong Data Modeling Skills. * Familiarity with CI/CD pipelines and agile workflows. * Experience integrating data from diverse sources, ensuring … data accuracy and consistency throughout the ETL process. * Ambition to reduce processing times and improving efficiency. Robert Walters are proud to specialise in BI & Data recruitment across the UK, offering amazing opportunities on a permanent and interim basis. We are also proud to be heading up the Data Leaders roundtables and PBI BRUM meetup group, bringing new and exciting networking More ❯

in Azure Data Pipeline development is key for this position. Key Skills & Responsibilities: Build and manage pipelines using Azure Data Factory, Databricks, CI/CD, and Terraform. Optimisation of ETL processes for performance and cost-efficiency. Design scalable data models aligned with business needs. Azure data solutions for efficient data storage and retrieval. Ensure compliance with data protection laws (e.g. More ❯

regulatory requirements specific to the public sector. Required education None Preferred education Bachelor's Degree Required technical and professional expertise Responsibilities: Design, build, and maintain scalable data pipelines and ETL processes. Collaborate with data scientists and engineers to integrate complex data systems. Ensure data quality, accuracy, and reliability through testing and validation procedures. Develop and implement data storage solutions, including More ❯

a Data Warehouse Engineer , you will have the following responsibilities: Design, develop, and maintain scalable data warehouse architecture and solutions to consolidate data from multiple sources. Build and optimize ETL pipelines using modern tools, automation and best practices. Develop and maintain dashboards, visualizations, and reports using Power BI. Collaborate with business stakeholders to gather requirements, translate them into data solutions … contribute to the continuous improvement of data architecture and standards. THE CANDIDATE The ideal Data Warehouse Engineer will possess the following skills: 2+ years of experience in data warehousing, ETL development, and business intelligence reporting. Strong experience with Power BI, including DAX, Power Query, and dashboard development. Proficiency in SQL and data modelling techniques. Strong analytical and problem-solving skills More ❯

using industry level best practices.Reporting to the Platform and Engineering Manager, the candidate will be required to design and manage data warehousing solutions, including the development of data models, ETL processes and data integration pipelines for efficient data consolidation, storage and retrieval, providing technical guidance and upskilling for the team, and conducting monitoring and optimisation activities. If you’re a … winning employer, apply to join #TeamAldi today! Your New Role: Project Management of demands and initiatives Lead the design and implementation of data warehousing Design and develop data models, ETL processes and data integration pipelines Complete Data Engineering end-to-end ownership of demand delivery Provide technical guidance for team members Providing 2nd or 3rd level technical support About You More ❯

Develop and maintain interactive dashboards and reports using Qlik Sense. Collaborate with business units to gather requirements and translate them into technical specifications. Perform data extraction, transformation, and loading (ETL) from various sources. Ensure data accuracy, integrity, and consistency across all reports and dashboards. Analyse large datasets to identify trends, patterns, and actionable insights. Optimise Qlik applications for performance and … 2+ years of experience working with Qlik Sense. Strong SQL skills and experience with relational databases. Proficiency in data visualisation and storytelling with data. Experience with data modelling and ETL processes. Excellent analytical and problem-solving skills. Strong communication, presentation, and collaboration abilities. Preferred Qualifications: Experience with cloud platforms (e.g., AWS, Azure, GCP). Familiarity with other BI tools (e.g. More ❯

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 ❯

Product Owner, Business Analyst, or similar role, with a strong focus on working directly with data engineering teams . Deep Data Expertise: A solid understanding of data warehousing concepts, ETL/ELT processes, data modeling, and various database technologies (e.g., SQL, and cloud data platforms like AWS Redshift, Google BigQuery, Snowflake). Strong Technical Acumen: The ability to grasp complex More ❯

strategy, architecture, integration and migration activities for Oracle Fusion Cloud implementation. Should have knowledge of Oracle Fusion data models across multiple modules (Financials, SCM, EPM etc), strong expertise in ETL, data governance and cloud data integration tools. Key responsibilities: Define and lead the data architecture strategy for Oracle Fusion Cloud applications across various business domains Design end-to-end data More ❯

migrated data Desirable experience: • Azure data certifications • Azure Synapse: Synapse-link, on-demand SQL engine, dedicated SQL pool • Writing unit tests, git Version control • Awareness of reliability patterns in ETL pipelines • Use of python in Jupyter notebooks for data processing • Azure storage technologies and cost/performance characteristics • Power BI, DAX, data flows • Techniques and tools for sanitizing data prior More ❯

migrated data Desirable experience: • Azure data certifications • Azure Synapse: Synapse-link, on-demand SQL engine, dedicated SQL pool • Writing unit tests, git Version control • Awareness of reliability patterns in ETL pipelines • Use of python in Jupyter notebooks for data processing • Azure storage technologies and cost/performance characteristics • Power BI, DAX, data flows • Techniques and tools for sanitizing data prior More ❯

multiple priorities. Willingness to learn new systems, tools, and processes. Experience with Azure Databricks and/or Azure Data Factory for building and managing data pipelines. Creating and Managing ETL processes Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the More ❯

multiple priorities. Willingness to learn new systems, tools, and processes. Experience with Azure Databricks and/or Azure Data Factory for building and managing data pipelines. Creating and Managing ETL processes Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the More ❯

in a highly skilled, collaborative environment with access to end-to-end business data. You'll: Lead the design and implementation of data warehousing solutions Develop robust data models, ETL pipelines, and data integration processes Take end-to-end ownership of demand delivery Provide technical mentorship and support (2nd/3rd line) Collaborate with business partners, data scientists, and report More ❯

in a small, agile team with real ownership You’ll need: Strong Python and SQL Solid AWS experience (Glue, Lambda, SQS, S3, etc.) Experience designing/building/maintaining ETL pipelines Data modelling experience to forecast and analyse Data warehousing knowledge (PostgreSQL, Redshift, Snowflake etc.) Self-starter mindset, you’ll get stuck in and find answers independently to bring back More ❯

This includes hands-on knowledge of cloud-based data storage, processing, and analytics solutions. Good understanding of business processes. Strong analytical skills and techniques. Expertise in Batch \Real Time ETL Solution skills along with performance enhancement knowledge. Strong knowledge of data and analytics, such as dimension modelling, ETL, Reporting tools, Data governance, Data warehousing, Structured and Unstructured data. Other skills More ❯

and trends. Requirements: -3+ years of experience as a data engineer. -Strong proficiency in AWS data services such as S3, Glue, Lambda, and Redshift. -Experience with data modelling, ETL processes, and data warehousing concepts. -Proficiency in SQL and Python. Benefits: -Competitive salary, benefits package and discretionary bonus. -Opportunity to work on cutting-edge technology. -Career growth and development opportunities. More ❯

requirements. Required education None Preferred education Bachelor's Degree Required technical and professional expertise Design, construct, install, test, and maintain highly scalable data management systems. Develop data processes and ETL pipelines to support analytics and reporting. Ensure data quality, reliability, and security across all systems. Collaborate with data scientists, analysts, and IT professionals to improve data reliability, efficiency, and quality. … professional experience Java (Programming Language): Proficient in Java programming language with a strong understanding of its ecosystems. General Data Engineering Skills: Demonstrated experience in data engineering, including data modelling, ETL processes, and data warehousing principles. SQL (Search Query Language for relational databases): Proficiency in writing complex queries and managing relational databases. Highly Desirable Skills: Python (Programming Language): Experience in Python More ❯

for the full end-to-end work, pulling and cleaning data, creating dashboards in Power BI and presenting insights back to stakeholders. YOUR SKILLS AND EXPERIENCE • Advanced SQL skills • ETL experience (Azure Data Factory or SSIS preferred) • Strong data visualisation skills (ideally Power BI) • Proven ability to interpret and communicate data insights • Experience managing workflows or mentoring peers • Agile mindset More ❯

Solid understanding of Azure Services including: Azure Data Factory Azure Storage Containers Lakehouse architecture Expertise in PySpark for big data processing In-depth knowledge of data migration processes, including ETL and data mapping Excellent verbal and written communication skills Experience Experience with CI/CD pipelines for deployment automation Familiarity with COSMOS DB Proficiency in Python beyond PySpark Working knowledge More ❯

with Google Analytics 4 and Google Tag Manager. Proficiency in BI tools like Looker Studio and Power BI. Strong knowledge of dataLayer customisation for advanced tracking needs. Experience with ETL processes and data pipelines. Familiarity with Google BigQuery, SQL, and performance marketing analytics. Ability to analyse user journeys and identify optimisation opportunities. What we can offer you What we can More ❯