1 to 25 of 37 ETL Jobs in the East Midlands

expert in cloud data engineering providing technical guidance and mentorship to the team. Drive the design development and implementation of complex data pipelines and ETL/ELT processes using cloud-native technologies (e.g. AWS Glue AWS Lambda AWS S3 AWS Redshift AWS EMR). Develop and maintain data quality checks More ❯

expert in cloud data engineering providing technical guidance and mentorship to the team. Drive the design development and implementation of complex data pipelines and ETL/ELT processes using cloud-native technologies (e.g. AWS Glue AWS Lambda AWS S3 AWS Redshift AWS EMR). Develop and maintain data quality checks More ❯

platforms, modelling architecture and integration Strong expertise in designing scalable data platforms and managing cloud-based data ecosystems Proven track record in data integration, ETL processes, and optimising large-scale data systems Expertise in cloud-based data platforms (AWS, Azure, Google Cloud) and distributed storage solutions Proficiency in SQL, NoSQL More ❯

on data platforms, modelling architecture and integrationStrong expertise in designing scalable data platforms and managing cloud-based data ecosystemsProven track record in data integration, ETL processes, and optimising large-scale data systemsExpertise in cloud-based data platforms (AWS, Azure, Google Cloud) and distributed storage solutionsProficiency in SQL, NoSQL, and data More ❯

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 More ❯

as a SQL Developer Strong expertise in Microsoft SQL Server Familiarity with other relational and NoSQL database technologies Solid foundation in data engineering, including ETL and pipeline development Experience with high-transactional systems and performance tuning Understanding of business analytics and data-driven decision-making Based locally to East Midlands More ❯

making. Troubleshoot data issues and implement efficient data governance practices. Skills & Experience Proven experience in Power BI . Strong SQL skills and experience building ETL/ELT pipelines . Familiarity with Microsoft Dynamics NAV/Business Central . Ability to work independently and collaboratively on-site with cross-functional teams. More ❯

making. Troubleshoot data issues and implement efficient data governance practices. Skills & Experience Proven experience in Power BI . Strong SQL skills and experience building ETL/ELT pipelines . Familiarity with Microsoft Dynamics NAV/Business Central . Ability to work independently and collaboratively on-site with cross-functional teams. More ❯

in AWS and/or Azure. Knowledge of PostgreSQL and Database Design Principles. Exposure to JavaScript frameworks, preferably React. Experience in designing and maintaining ETL processes. Solid understanding of Software Development Best Practices such as CI/CD. Experience working with software products focused on analytics. Bachelor's Degree (or More ❯

experience writing technical documentation Comfortable working with Agile, TOGAF, or similar frameworks Desirable: Experience with Python and data libraries (Pandas, Scikit-learn) Knowledge of ETL tools (Airflow, Talend, NiFi) Familiarity with analytics platforms (SAS, Posit) Prior work in high-performance or large-scale data environments Why Join? This is more More ❯

experience writing technical documentation Comfortable working with Agile, TOGAF, or similar frameworks Desirable: Experience with Python and data libraries (Pandas, Scikit-learn) Knowledge of ETL tools (Airflow, Talend, NiFi) Familiarity with analytics platforms (SAS, Posit) Prior work in high-performance or large-scale data environments Why Join? This is more More ❯

experience writing technical documentation Comfortable working with Agile, TOGAF, or similar frameworks Desirable: Experience with Python and data libraries (Pandas, Scikit-learn) Knowledge of ETL tools (Airflow, Talend, NiFi) Familiarity with analytics platforms (SAS, Posit) Prior work in high-performance or large-scale data environments Why Join? This is more More ❯

experience writing technical documentation Comfortable working with Agile, TOGAF, or similar frameworks Desirable: Experience with Python and data libraries (Pandas, Scikit-learn) Knowledge of ETL tools (Airflow, Talend, NiFi) Familiarity with analytics platforms (SAS, Posit) Prior work in high-performance or large-scale data environments Why Join? This is more More ❯

experience writing technical documentation Comfortable working with Agile, TOGAF, or similar frameworks Desirable: Experience with Python and data libraries (Pandas, Scikit-learn) Knowledge of ETL tools (Airflow, Talend, NiFi) Familiarity with analytics platforms (SAS, Posit) Prior work in high-performance or large-scale data environments Why Join? This is more More ❯

experience writing technical documentation Comfortable working with Agile, TOGAF, or similar frameworks Desirable: Experience with Python and data libraries (Pandas, Scikit-learn) Knowledge of ETL tools (Airflow, Talend, NiFi) Familiarity with analytics platforms (SAS, Posit) Prior work in high-performance or large-scale data environments Why Join? This is more More ❯

background in API integration and middleware usage to seamlessly connect Salesforce with various enterprise systems and platforms. Data Management: Comprehensive knowledge in data migration, ETL processes, and best practices to maintain data integrity and quality across systems. DevOps & CI/CD (GitLab): Proficiency with GitLab version control and CI/ More ❯

cloud platform. Skilled in scalable, reliable, and efficient data solutions, often using AWS services like S3, Redshift, EMR, Glue, and Kinesis. This involves designing ETL processes, ensuring data security, and collaborating with other teams for data analysis and business requirements Key Skills: AWS Services: Strong understanding and experience with AWS … languages like Python or Java, used for designing and building data pipelines. SQL: Knowledge of SQL for querying and manipulating data in relational databases. ETL Processes: Experience with ETL tools and techniques. Cloud Computing: Familiarity with cloud computing concepts and principles. Data Architecture: Understanding of data architecture principles and best … to move data between different systems and applications on AWS. Data Warehouse Management: Designing, building, and maintaining data warehouses using AWS services like Redshift. ETL Process Development: Developing and maintaining Extract, Transform, Load (ETL) processes to move and transform data. Data Governance and Security: Implementing data governance and security policies More ❯

Accountabilities: Ensure the existing design, development, and expansion of a near real-time data platform integrating AWS, Databricks and on-prem JDE systems. Develop ETL processes to integrate and transform data from multiple sources into a centralised data platform. Develop and optimise complex queries and data pipelines. Optimise and manage … data requirements. Design and build interactive and insightful dashboards and reports for internal and external stakeholders. Develop and maintain comprehensive documentation for data models, ETL processes, and BI solutions. Ensure data accuracy, integrity, and consistency across the data platform. Knowledge, Skills and Experience: Essentia l Strong expertise in Databricks and … analytics. Proficient in SQL and Python/PySpark for data transformation and analysis. Experience in data lakehouse development and Delta Lake optimisation. Experience with ETL/ELT processes for integrating diverse data sources. Experience in gathering, documenting, and refining requirements from key business stakeholders to align BI solutions with business More ❯

They utilize tools such as Informatica, Ab Initio software, and DataStage (formerly Ascential) - IBM's WebSphere Data Integration Suite. This role involves creating and implementing Extract, Transform, and Load (ETL) processes, ensuring the seamless flow of data throughout the business intelligence solution's lifecycle. Required education None Preferred education Bachelor More ❯

38.96 per hour Inside IR35, (Perm equivalent = £73K) Start: ASAP (once vetting completed) Key skills: Data Architecture experience including data architecture design and implementation, ETL, data visualisation, cloud-based tech storage and big data technologies, data query languages and experience leading a data delivery team, (Data Engineers, BI Devs and More ❯

38.96 per hour Inside IR35, (Perm equivalent = £73K) Start: ASAP (once vetting completed) Key skills: Data Architecture experience including data architecture design and implementation, ETL, data visualisation, cloud-based tech storage and big data technologies, data query languages and experience leading a data delivery team, (Data Engineers, BI Devs and More ❯

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 … 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 More ❯

Proven ability to design, build, and deploy enterprise-level integration solutions using leading integration platforms. -Strong proficiency in integration patterns, including REST, SOAP, messaging, ETL, and microservices architecture. -Solid understanding of fundamental cybersecurity principles. - Desirable: Experience working within the retail sector or similar industries, with a strong grasp of retail More ❯

to ensure efficient data modelling and analytics performance. Use Power Query to connect, clean, and transform data from various sources. Develop and maintain efficient ETL processes, integrating data from multiple sources and formats into cohesive datasets. Write and optimise SQL queries to support data transformations and reporting requirements. Collaborate with … and Power Query to create robust and dynamic dashboards. Strong experience with SQL, particularly in data manipulation and querying across large datasets. Proficiency in ETL processes, with a proven track record of integrating data from diverse sources and formats. Exceptional communication skills, with the ability to clearly articulate complex concepts More ❯

to ensure efficient data modelling and analytics performance. Use Power Query to connect, clean, and transform data from various sources. Develop and maintain efficient ETL processes, integrating data from multiple sources and formats into cohesive datasets. Write and optimise SQL queries to support data transformations and reporting requirements. Collaborate with … and Power Query to create robust and dynamic dashboards. Strong experience with SQL, particularly in data manipulation and querying across large datasets. Proficiency in ETL processes, with a proven track record of integrating data from diverse sources and formats. Exceptional communication skills, with the ability to clearly articulate complex concepts More ❯