1 to 25 of 35 Remote Contract ETL Jobs

modernisation of the data estate, migrating legacy SQL Server warehouses into Azure. You will play a key role in shaping the new cloud data platform. Responsibilities: Build and optimise ETL/ELT pipelines with Azure Data Factory, Synapse, and SQL Database. Lead the migration of on-premises SQL Server/SSIS workloads into Azure. Design data lakes, marts, and models More ❯

modernisation of the data estate, migrating legacy SQL Server warehouses into Azure. You will play a key role in shaping the new cloud data platform. Responsibilities: Build and optimise ETL/ELT pipelines with Azure Data Factory, Synapse, and SQL Database. Lead the migration of on-premises SQL Server/SSIS workloads into Azure. Design data lakes, marts, and models More ❯

WFHDuration: 3 months rolling contractType of contract : Freelance, Inside IR35Level: mid-Senior Duties and Tasks: Develop and optimize data pipelines using Databricks and Spark.Design and implement data models and ETL processes in Snowflake.Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.Ensure data quality, integrity, and security across platforms.Monitor and troubleshoot data workflows and performance issues. Requirements: Proven More ❯

quality improvement. Contribute to best practice sharing and community-building initiatives within the data engineering space. Required Skills & Experience Cloud Platforms: Strong expertise in AWS/Azure/SAP ETL/ELT Pipelines: Advanced proficiency Data Modelling: Expert level Data Integration & Ingestion: Skilled Databricks, SQL, Synapse, Data Factory and related Azure services Version Control/DevOps tools: GITHUB, Azure DevOps More ❯

and resolve complex data issues and performance bottlenecks. Key Skills: SAS 9.4 (DI), SAS Viya 3.x (SAS Studio, VA, VI). Platform LSF, Jira, Platform Support. Strong expertise in ETL tools: Pentaho, Talend. Experience with data virtualization using Denodo. Proficiency in SAS for data analytics and reporting. Oracle (good to have). Solid understanding of Agile and Scrum frameworks. Hands More ❯

and resolve complex data issues and performance bottlenecks. Key Skills: SAS 9.4 (DI), SAS Viya 3.x (SAS Studio, VA, VI). Platform LSF, Jira, Platform Support. Strong expertise in ETL tools: Pentaho, Talend. Experience with data virtualization using Denodo. Proficiency in SAS for data analytics and reporting. Oracle (good to have). Solid understanding of Agile and Scrum frameworks. Hands More ❯

Excellent communication and stakeholder management skills Flexible approach to hybrid working (attending workshops, possibly across differ locations if needed) Nice to have: Demonstrable background in Data Engineering Design processes (ETL, ELT), with good knowledge of Data Vault, Inmon and Kimball Insurance industry experience, with good understanding of what a claim is, claims process(es) etc Previous work on Data strategies More ❯

resolve complex data issues and performance bottlenecks. Key Skills: SAS 9.4 (DI), SAS Viya 3.x (SAS Studio, VA, VI). Platform LSF, Jira, Platform Support. GIT. Strong expertise in ETL tools: Pentaho, Talend. Experience with data virtualization using Denodo. Proficiency in SAS for data analytics and reporting. Oracle (good to have). Solid understanding of Agile and Scrum frameworks. Hands More ❯

resolve complex data issues and performance bottlenecks. Key Skills: SAS 9.4 (DI), SAS Viya 3.x (SAS Studio, VA, VI). Platform LSF, Jira, Platform Support. GIT. Strong expertise in ETL tools: Pentaho, Talend. Experience with data virtualization using Denodo. Proficiency in SAS for data analytics and reporting. Oracle (good to have). Solid understanding of Agile and Scrum frameworks. Hands More ❯

native Azure services Requirements: 10+ years in cloud architecture/engineering with a strong focus on building scalable data pipelines Expertise in Azure Databricks (7+years) including building and managing ETL pipelines using PySpark or Scala (essential) Solid understanding of Apache Spark, Delta Lake, and distributed data processing concepts Hands-on experience with Azure Data Lake Storage Gen2, Azure Data Factory More ❯

standards such as DAMA-DMBOK, DCAM, or EDM Council best practices. Hands-on experience with data platforms (e.g., Azure, AWS, GCP), data cataloging tools (e.g., Collibra, Alation, Informatica), and ETL/Integration solutions. Excellent stakeholder management and communication skills, with the ability to influence both business and technical teams. Strong analytical, documentation, and presentation abilities. More ❯

for claims data capture and document structures.? Prepare and validate migration files for open and closed claims, ensuring historical reporting capabilities.? Coordinate with IT and data engineering teams on ETL processes and data lake ingestion.? Ensure secure handling of sensitive data and adherence to retention ? Support Power BI reporting setup for analytics and operational MI. Key Experience Proven experience in More ❯

complex data modeling Strong SQL skills for data extraction, transformation, and performance optimisation (essential) Solid understanding of data warehousing principles such as star and snowflake schemas, as well as ETL processes Experience in designing and implementing semantic and tabular models for reporting solutions Excellent communication abilities with proven experience collaborating with clients (essential) Contract: Outside IR35 Remote with some work More ❯

understanding and command of Data Pipelines Excellent communication skills Flexible approach towards hybrid working when required Nice to have: Exposure to Microsoft Fabric Experience in large Data Migration projects (ETL) Immediate availability 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 More ❯

tooling. Proven experience working with IBM Maximo Asset Management software. Background in data modelling and integration across varied formats. Excellent communication and stakeholder collaboration skills. Desirable Skills: Familiarity with ETL platforms such as DataStage, Informatica, Talend, Apache Nifi, SSIS, or Boomi. Experience with SX000i and Integrated Product Support (AIA/ASD) standards. Knowledge of documentation tools (Excel, BPMN, UML). More ❯

Ability to write Spark code for large scale data processing, including RDDs, DataFrames, and Spark SQL Hands-on experience with lakehouses, dataflows, pipelines, and semantic models Ability to build ETL workflows Familiarity with time-series data, market feeds, transactional records, and risk metrics Familiarity with Git, DevOps pipelines, and automated deployment Strong communication skills with a collaborative mindset to work More ❯

play a key role in developing and delivering advanced AI solutions for a Government client . Responsibilities include: Designing, building, and maintaining data processing pipelines using Apache Spark Implementing ETL/ELT workflows for large-scale data sets Developing and optimising Python-based data ingestion tools Collaborating on the design and deployment of machine learning models Ensuring data quality, integrity More ❯

Kubernetes), and virtualisation (VMware, IaaS tools like Ansible, Terraform) * Excellent analytical, problem-solving, and communication skills * Experience working within Agile or DevOps environments Preferred: * Knowledge of data integration techniques (ETL, data mapping) * Certifications in software architecture or integration technologies Join a forward-thinking team where your expertise will directly impact the success of critical software systems. Apply now to be More ❯

the Amazon Web Services (AWS) 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 Role Overview: Job Title: Data AWS Engineer Location: Northampton (hybrid: 2-3 days in office … Creating and implementing data pipelines 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 for data storage and processing. … Programming Languages: Proficiency in programming 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 practices. Data Modeling: Understanding of More ❯

Strong understanding of process automation and workflow design . Background in finance systems or financial services , ideally within life insurance. Experience with data migrations or integrations (e.g. Oracle, AutoRek, ETL). Ability to work closely with non-technical teams and translate requirements effectively. Self-starter who can both deliver hands-on solutions and act as a technical advisor. Must have More ❯

system interactions. * Excellent stakeholder management and communication skills. * Ability to translate technical concepts into business-friendly language. Desirable Skills: * Experience with data governance, security, and compliance frameworks. * Knowledge of ETL processes and data integration tools. * Exposure to Agile or hybrid project delivery methodologies. More ❯

Analytics or Data Science, ideally in Customer Success, Operations or Digital Team. Strong SQL skills and experience with dashboarding tools such as Tableau. Familiarity with Snowflake, Databricks, Spark, and ETL processes. Python or automation is a plus. Knowledge of A/B testing and statistics. Strong communication and storytelling skills to influence diverse audiences. Experience with call centre or digital More ❯

skilled Data Engineer to join our team on a predominantly remote basis, with occasional travel to London. This role is ideal for someone with strong experience in data migration, ETL (both batch and real-time), and data warehouse development. What you'll need: DataStage Redshift QuickSight AWS S3 Java SQL Relational databases GitHub/lab experience Nice to have: Data More ❯

in SQL for data extraction, transformation, and pipeline development. Experience with dashboarding and visualization tools (Tableau, Qlik, or similar). Familiarity with big data tools (Snowflake, Databricks, Spark) and ETL processes. Useful experience; Python or R for advanced analytics, automation, or experimentation support. Knowledge of statistical methods and experimentation (A/B testing) preferred. Machine learning and Generative AI experience More ❯

readiness (holdouts, lift, attribution inputs). Must-have experience 3 - 6+ years in analytics/marketing data roles with advanced SQL Proven work with CDP and/or reverse-ETL patterns and Braze. Strong data modelling in a modern warehouse and experience with dbt. Building audiences at scale, including identity resolution and edge-case handling. Rigorous testing/QA mindset More ❯