24 of 24 ETL Jobs in the East of England

improve their financial wellbeing. Key Responsibilities: Data Pipelines and ETL Processes • ETL Implementation: Implement ETL processes within MaPS architectural patterns to extract, transform, and load data from various source systems into our reporting solutions.• Pipeline Development: Develop and configure meta-data driven data pipelines using data orchestration tools such ...

responsible for: Building and managing data pipelines using Azure Synapse, Data Factory, Databricks, or Microsoft Fabric Designing and maintaining data lakes, data warehouses, and ETL/ELT processes Developing scalable data models for reporting in Power BI Work closely with stakeholders to understand the needs of their individual business and ...

performance tuning and model management. Proven ability to manage and optimize very large datasets in Power BI and Azure. Solid understanding of SQL, ETL processes, and data warehousing. Familiarity with Azure Synapse, Data Lake, and Analysis Services (AAS/SSAS). Strong performance tuning: aggregations, incremental refresh, Hybrid tables, Direct ...

insight across a complex, multi-site business. Key responsibilities but not limited to as the Python Data Engineer: Build and maintain data pipelines and ETL processes Integrating legacy and modern systems Deliver data migrations, including mapping, transformation, and validation Ensure data quality, performance, and reliability Collaborate with technology and business ...

and reports using data warehouse solutions, leveraging tools like Power BI and SSRS. Team Management Lead, mentor, and inspire a team of data analysts, ETL developers, and BI report developers, fostering a culture of innovation and continuous improvement. Provide guidance and build a high-performing data engineering and BI team … Hands on experience with Azure Data Services (e.g Azure Data Lake, Databricks, Synapse, Data Factory). Plus, experience in data engineering fundamentals (data modelling, ETL/ELT patterns, orchestration, testing, and observability) would be preferable. Proven track record of leading Data Engineering and/or Business Intelligence teams. Experience ...

looking for from you: SQL technologies skills (e.g. MS SQL, Oracle...) noSQL technologies skills (e.g. MongoDB, InfluxDB, Neo4J...) Data exchange and processing skills (e.g. ETL, ESB, API...) Development (e.g. Python) skills Big data technologies knowledge (e.g. Hadoop stack) Knowledge in NLP (Natural Language Processing) Knowledge in OCR (Object Character Recognition ...

MLflow, Airflow, Docker, Kubernetes) Solid understanding of CI/CD pipelines and DevOps practices (eg GitLab, Jenkins) Strong knowledge of data engineering concepts , including ETL, data warehousing and data streaming Experience designing and working with scalable, cloud-native data pipelines and systems Desirable Experience working within defence, intelligence or other ...

understand business requirements for data migration. Design and implement robust data migration strategies. Develop scripts and processes to automate data extraction, transformation, and loading (ETL) processes. Work closely with stakeholders, including business users and IT teams, to ensure data requirements are met, and migrations proceed without disruption to business operations. … Responsibilities: Plan, coordinate, and execute data migration projects within set timelines. Design and build ETL solutions, ensuring data quality and integrity throughout the migration process. Troubleshoot and resolve data-related issues promptly to minimise disruption. Collaborate with various teams to align migration processes with organisational goals and regulatory standards. Proficiency ...

Reporting, and Insight generation using DOMO and modern data science tools. Design and develop DOMO dashboards (live and scheduled) to deliver meaningful business insights. Extract and integrate data from Pega applications, Adobe platforms, SaaS systems, APIs, and public data domains. Translate complex datasets into clear visualizations and actionable insights that … and governance across all reporting and analytics activities. Responsibilities Design, develop, and maintain DOMO dashboards (live and scheduled) that deliver real-time business insights. Extract, transform, and integrate data from Pega systems, Adobe platforms, SaaS applications, APIs, and public data sources. Build and optimize data pipelines and ETL workflows ...

modelling Work with domain teams to scale data processing Job Requirements: Technical expertise in designing, building, and maintaining data pipelines and warehouses Experience with ETL/ELT frameworks and Big Data Processing Tools (e.g., Spark, Airflow, Hive) Knowledge of programming languages (e.g., Python, SQL) Hands-on experience with SQL/ ...

Solid experience with API design and management , including REST , SOAP , and event-driven architectures Hands-on development experience using Python , JavaScript, and/or ETL/data transformation tools Experience integrating with enterprise SaaS platforms such as Salesforce , ServiceNow , SAP , or Pega Strong communication skills, able to engage technical and ...

cross-functional teams A proactive work approach; identifying and resolving issues as they arise, escalating risk where required Required Skills Experience with data transformation, ETL tools, or scripting languages (Python, JavaScript) Appreciation of security, compliance, and governance in cloud integrations Required Education Bachelor’s degree in information technology, Computer Science ...

being introduced to bridge the gap between DevOps and Data with the data departments. Building and maintaining CI/CD pipelines that support ETL and reporting releases. Managing code promotion processes, version control standards, and Jira integrations. Overseeing non-production environments to ensure data freshness, alignment, and smooth testing. Orchestrating … data provisioning, refreshes, and automated workflows for analytics teams. Optimising ETL and Power BI code to improve performance, efficiency, and reliability. Implementing observability and logging frameworks to monitor data services and deployments. Partnering with engineering, data, and reporting teams to coordinate releases and resolve technical challenges. Embedding security, governance, and ...

understand business requirements for data migration. Design and implement robust data migration strategies. Develop scripts and processes to automate data extraction, transformation, and loading (ETL) processes. Work closely with stakeholders, including business users and IT teams, to ensure data requirements are met, and migrations proceed without disruption to business operations. … Plan, coordinate, and execute data migration projects within set timelines. Design and build ETL solutions, ensuring data quality and integrity throughout the migration process. Expertise on Data migrations on to cloud. Troubleshoot and resolve data-related issues promptly to minimise disruption. Collaborate with various teams to align migration processes with ...

problems and improve processes Gathering requirements and delivering ERP enhancements Developing and maintaining BI and operational reporting (Infor M3, Crystal Reports, Excel) Owning data, ETL processes and ERP system administration Managing ERP security, access and system releases Supporting, training and developing users at all levels Maintaining EDI and API integrations ...

will be responsible for: Diagnosing and resolving SQL Server performance issues across queries, indexes and execution plans Tuning stored procedures, user-defined functions and ETL processes to improve scalability and speed Working closely with clients and internal teams to understand requirements and deliver efficient technical solutions Promote performance best practices ...

client requirements into clear technical BI designs and specifications. Develop and maintain SQL-based reporting datasets, views, and stored procedures. Build, maintain, and support ETL processes and data flows for reporting and analytics. Develop and support reports and dashboards to meet business and client needs. Present BI solutions, insights, and … Microsoft BI stack Experience within insurance or financial services is advantageous. Solid understanding of data warehousing and reporting concepts. Experience building and supporting ETL processes. Comfortable gathering requirements and working directly with stakeholders or clients. Experience working with large or complex datasets. Exposure to structured development practices and source control ...

Microsoft Fabric (Lakehouse, Dataflows, ADF).- An understanding of data modelling concepts (e.g. dimensional, star schema, denormalisation)- Knowledge of performance tuning techniques for ETL and SQL processes- Familiarity with data governance principles and GDPRDue to the type of data you’ll have access to in this role … interview to a fair and proportionate number of disabled applicants who meet the minimum selection criteria for the job.Other organisations may call this role ETL Engineer, Data Pipeline Engineer, Analytics Engineer, Data Platform Engineer, or BI Developer.We’re committed to building an inclusive workplace where equity, diversity and inclusion ...

technologies while developing expertise in modern data engineeAssist in designing and developing cloud-based data pipelines to collect, process, and store data efficiently. Support ETL/ELT processes, ensuring data is properly structured and integrated across various systems. Work with SQL databases to query, clean, and transform data for analytics … willingness to develop expertise in cloud data engineering. Some experience or academic exposure to SQL, including writing queries and optimising data retrieval. Familiarity with ETL/ELT processes and data integration concepts. Interest in working with big data technologies and cloud-based data warehouses (e.g., Snowflake, Fabric). Strong problem ...

Support Engineer/Data Engineer Telecom Domain (JD) Key Skills & Expertise AWS Core Services : S3, Redshift, Glue, Athena, Lake Formation, IAM Data Engineering/ETL: Building and optimizing ETL pipelines Data ingestion, transformation & orchestration using AWS Glue (PySpark/Python) Working with structured/semi-structured telecom datasets (CDRs, network … styles, sort keys Workload management (WLM) Performance optimization & troubleshooting Python: Automation scripts Data processing workflows Monitoring, debugging, validation scripts AWS Support/Operations: Troubleshooting ETL failures, performance bottlenecks, pipeline issues Monitoring cloud workloads (CloudWatch, CloudTrail) Handling incidents, root-cause analysis (RCA), patching & releases Cost optimization and resource usage tracking Telecom ...

processKey Responsibilities Analyse existing data structures and understand business and technical requirements for migration initiatives. Design and deliver robust data migration strategies and ETL solutions. Develop automated data extraction, transformation, and loading (ETL) processes using industry-standard tools and scripts. Work closely with stakeholders to ensure seamless migration and minimal … issues promptly. Collaborate with wider engineering and architecture teams to ensure migrations align with organisational and regulatory standards.Relevant exposure; Strong hands-on experience with ETL processes and tools (Talend, Informatica, Matillion, Pentaho, MuleSoft, Boomi) or scripting using Python, PySpark, and SQL. Proficient-level SQL skills for complex query development, performance ...

policies Security must be baked into delivery not an afterthought. Power Platform, Fabric & Data Modelling Power BI (data modelling, DAX fundamentals) Power Query/ETL thinking Familiarity with Microsoft Fabric or modern data platforms Can design a single source of truth , not just reports Someone who moves from spreadsheets ? models … experience useful: BAQs, REST/API, upgrades SQL literacy (views, joins, performance awareness) Understanding of manufacturing concepts: BOMs, routings, work centres Ability to extract ERP data cleanly for reporting & forecasting Process, Documentation & Knowledge Capture Comfortable documenting systems and processes Can create repeatable runbooks, not Word documents nobody reads Thinks ...

Integration Design: Define source-to-target mappings for S/4HANA and SAC. Establish business transformation rules, validation logic, and exception handling procedures. Recommend ETL/MDH-based harmonization strategies. SAP Datasphere Assessment: Evaluate the feasibility and benefits of introducing SAP Datasphere for unified data access and governance. Define scenarios … Technical Expertise: Strong knowledge of SAP S/4HANA, SAP Analytics Cloud, SAP Datasphere, and large data lake (e.g., Snowflake MDH). Experience with ETL tools, APIs, and data integration frameworks. Proficiency in data modeling and architecture design. Domain Knowledge: Familiarity with insurance industry data (actuarial, investment, policy administration). ...

Support Engineer/Data Engineer Telecom Domain (JD) Key Skills & Expertise AWS Core Services : S3, Redshift, Glue, Athena, Lake Formation, IAM Data Engineering/ETL: Building and optimizing ETL pipelines Data ingestion, transformation & orchestration using AWS Glue (PySpark/Python) Working wi... ...