126 to 150 of 335 ETL Jobs in the UK excluding London

world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. YOUR ROLE Assist in designing and developing ETL processes to extract, transform, and load data from various sources into data warehouses or data marts. Very good in Informatica development, setup and IDMC cloud migration Strong in writing SQL, joining between tables and compare … the table data Collaborate with team members to understand data requirements and translate them into technical specifications. Support the maintenance and enhancement of existing ETL processes to ensure data accuracy and reliability. Conduct data quality checks and troubleshoot issues related to ETL processes. Participate in code reviews and provide feedback to improve ETL processes and performance. Document ETL processes and … clear and comprehensive records. Learn and apply best practices in ETL development and data integration. Knowledge of scripting languages (Python, Shell scripting) is advantageous. Very good knowledge in Datawarehouse and ETL concepts YOUR PROFILE Bachelor's degree in Computer Science, Information Technology, or a related field. Basic understanding of ETL concepts and processes. Familiarity with SQL and database concepts. Knowledge More ❯

Job Summary We are seeking a skilled and motivated Data Scientist to join our client. In this role, you will leverage your advanced analytical skills and programming expertise to extract insights from complex datasets, develop predictive models, and support decision-making for our diverse range of customers. As a mid-level contributor, you will work on a variety of data … Conduct A/B testing and experimental analysis to validate hypotheses. Data Management & Engineering: - Collaborate with data engineering teams to ensure data quality, accessibility, and efficiency. - Design and develop ETL pipelines and workflows for data preprocessing. - Develop automated tests to validate the processes and models you create. Collaboration & Communication: - Collaborate with stakeholders to define project goals, requirements, and deliverables. - Actively 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

and maintaining data pipelines, data warehouses, and leveraging data services. Proficient in DataOps methodologies and tools, including experience with CI/CD pipelines, containerisation, and workflow orchestration. Familiar with ETL/ELT frameworks, and experienced with Big Data Processing Tools (e.g. Spark, Airflow, Hive, etc.) Knowledge of programming languages (e.g. Java, Python, SQL) Hands-on experience with SQL/NoSQL More ❯

working closely with senior leadership. The team has already laid the foundations for a modern data platform using Azure and Databricks and is now focused on building out scalable ETL processes, integrating AI tools, and delivering bespoke analytics solutions across the organisation. THE ROLE As a Data Engineer, you'll play a pivotal role in designing and implementing robust data … This role combines hands-on development with collaborative architecture design, and offers the opportunity to contribute to AI readiness within a fast-paced business. KEY RESPONSIBILITIES Develop and maintain ETL pipelines, including manual and semi-manual data loads Connect and integrate diverse data sources across cloud platforms Collaborate with analytics and design teams to create bespoke, scalable data solutions Support … ready for future AI use cases REQUIRED SKILLS & EXPERIENCE Strong experience with Azure and Databricks environments Advanced Python skills for data engineering (pandas, PySpark) Proficiency in designing and maintaining ETL pipelines Experience with Terraform for infrastructure automation Track record of working on cloud migration projects, especially Azure to Databricks Comfortable working onsite in London 2 days/week and engaging More ❯

Your Mission: Design and build data integration solutions following technical standards. Develop application interfaces for data and analytics products. Work on big data projects, leveraging real-time technologies. Support ETL development and data transformations based on business requirements. Ensure data work aligns with governance and security policies. Collaborate with the wider data and analytics team. Maintain and troubleshoot production data … pipelines. Document data development using technical documents and DevOps tools. Skills & Experience: Solid experience with Azure data integration stack. Proficiency with SQL, ETL, Python, and APIs. Strong knowledge of relational databases (MySQL, SQL Server, PostgreSQL). Experience with NoSQL databases (e.g., Cosmos DB). Familiar with data integration methods (real-time, periodic, batch). Strong understanding of application interfaces (REST More ❯

SSIS) packages and new cloud-native solutions within a microservice and containerised architecture. Key accountabilities include: Developing near real-time integration services using cloud technologies. Building and optimising SSIS ETL packages. Selecting appropriate integration approaches (ETL/ELT) aligned to business outcomes. Collaborating across product and analytics teams to integrate with platforms such as Azure Data Lake and Synapse. Managing … through innovation, prototyping, and cross-functional collaboration. We are looking for a technically skilled and proactive professional with: Strong experience in Microsoft SQL, Azure Data Factory, Synapse, and related ETL/ELT tools. Proven capability in managing Azure-based integration services and data solutions. A solid understanding of microservices, data modelling, and DevOps principles. Experience in handling large, complex datasets More ❯

helping businesses make better decisions. Someone who thrives in a collaborative environment and values transparency and integrity. Strong analytical and problem-solving skills. Basic knowledge of data modelling and ETL processes. Proficiency in Excel and other Microsoft Office applications. Ability to communicate clearly and effectively with technical and non-technical audiences. Willingness to learn and adapt in a fast-paced … with stakeholders to define requirements, develop BI solutions and give advice on data strategy, visualization best practices and performance optimization. In addition, you'll assist with data integration and ETL processes with the IT and data teams identifying opportunities for analytics-driven improvements across the business. You will support the design and implementation of BI solutions, including data models and More ❯

with your team and other teams to optimise data solutions. This is a fantastic opportunity for highly skilled and motivated Lead Data Engineer with strong expertise in data architecture, ETL pipelines, cloud technologies and big data solutions. In this role, you will have the following: - Technical Leadership Team Management Leading by Example (100% hands-on) Data Strategy & Solutions Cloud (Azure … minimum of 2). Extensive Big Data hands-on experience across coding/configuration/automation/monitoring/security is necessary. Significant AWS or Azure hands-on experience. ETL Tools such as Azure Data Fabric (ADF) and Databricks or similar ones. Data Lakes: Azure Data, Delta Lake, Data Lake or Databricks Lakehouse. Certifications: AWS, Azure, or Cloudera certifications are … our client is NOT offering sponsorship for this role. KEYWORDS Lead Data Engineer, Senior Lead Data Engineer, Spark, Java, Python, PySpark, Scala, Big Data, AWS, Azure, On-Prem, Cloud, ETL, Azure Data Fabric, ADF, Databricks, Azure Data, Delta Lake, Data Lake. Please note that due to a high level of applications, we can only respond to applicants whose skills and More ❯

and problem-solving abilities Bring thought leadership to your area of responsibility and enjoy staying ahead in your field You possess the following skills and experiences: Solid understanding of ETL tooling to perform data transformation tasks Strong understanding of data design principles and dimensional data modeling Advanced SQL skills and understanding of query optimization strategies Preferred skills and experience across … the following; ETL Tools –Informatica IICS, Unix/Linux Shell Scripting, SQL Server & Stored Procedures (SSMS), SSMA (SQL Server Migration Assistant), GitHub, API Integration, Alteryx, Data Visualization, Automation & Scheduling, Documentation & Communication What’s Next? If you have the skills and passion to take on this DATA ENGINEER position then APPLY NOW for immediate consideration. More ❯

and problem-solving abilities Bring thought leadership to your area of responsibility and enjoy staying ahead in your field You possess the following skills and experiences: Solid understanding of ETL tooling to perform data transformation tasks Strong understanding of data design principles and dimensional data modeling Advanced SQL skills and understanding of query optimization strategies Preferred skills and experience across … the following; ETL Tools –Informatica IICS, Unix/Linux Shell Scripting, SQL Server & Stored Procedures (SSMS), SSMA (SQL Server Migration Assistant), GitHub, API Integration, Alteryx, Data Visualization, Automation & Scheduling, Documentation & Communication What’s Next? If you have the skills and passion to take on this DATA ENGINEER position then APPLY NOW for immediate consideration. 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 ❯

consumable information for all stakeholders.* Reviewing, evaluating and designing data services. * Implementing high quality data architectures.* Advising in data system design, applied to complex financial data.* Designing and implementing ETL processes for efficient data extraction.* Planning and organising stakeholder workshops to gather requirements. BI Developer - What will you need? * Strong story-telling skills in Power BI.* Advanced SQL skills.* Ability More ❯

Troubleshoot integration issues and optimize pipeline performance Document workflows and maintain best practices for SnapLogic development Requirements: Proven hands-on experience with SnapLogic (Enterprise Integration Cloud) Strong understanding of ETL/ELT concepts and integration patterns Experience working with APIs, cloud platforms (e.g., AWS, Azure, GCP), and databases (SQL/NoSQL) Familiarity with REST, JSON, XML, and data mapping/ More ❯

Troubleshoot integration issues and optimize pipeline performance Document workflows and maintain best practices for SnapLogic development Requirements: Proven hands-on experience with SnapLogic (Enterprise Integration Cloud) Strong understanding of ETL/ELT concepts and integration patterns Experience working with APIs, cloud platforms (e.g., AWS, Azure, GCP), and databases (SQL/NoSQL) Familiarity with REST, JSON, XML, and data mapping/ More ❯

Hybrid Role with 2 days per week onsite in Central London. Skillset required: * Data Pipeline Expertise: Extensive experience in designing and implementing scalable ETL/ELT data pipelines in Azure Databricks, transforming raw data into usable datasets for analysis. * Azure Databricks Proficiency: Strong knowledge of Spark (SQL, PySpark) for data transformation and processing within Databricks, along with experience building workflows More ❯

alongside data scientists and ML engineers, you'll support everything from raw ingestion to curated layers powering LLMs and advanced analytics.Your responsibilities will include: Building and maintaining production-grade ETL/ELT workflows with DBT and Airflow Collaborating with AI/ML teams to support data readiness for experimentation and inference Writing clean, modular SQL and Python code for use More ❯

and problem-solving abilities Bring thought leadership to your area of responsibility and enjoy staying ahead in your field You possess the following skills and experiences: Solid understanding of ETL tooling to perform data transformation tasks Strong understanding of data design principles and dimensional data modeling Advanced SQL skills and understanding of query optimization strategies Preferred skills and experience across … the following ETL Tools -Informatica IICS Unix/Linux Shell Scripting SQL Server & Stored Procedures (SSMS) SSMA (SQL Server Migration Assistant) GitHub API Integration Alteryx Data Visualization Automation & Scheduling Documentation & Communication What's Next? If you have the skills and passion to take on this DATA ENGINEER position then APPLY NOW for immediate consideration. Due to the volume of applications More ❯

Profile Data Engineer - Surrey - Hybrid A successful Data Engineer should have: Experience with Azure Data Factory, Azure Synapse, Azure SQL, or Azure Data Lake. Hands-on knowledge of the ETL process and working with large datasets. Understanding of dimensional modelling and data warehousing principles. Familiarity with CI/CD pipelines or monitoring tools for data processes. Solid skills in SQL More ❯

years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process … data for modeling PREFERRED QUALIFICATIONS - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during More ❯