26 to 50 of 57 ETL Jobs in the East of England

Oracle Analytics Cloud (OAC dashboards, DV, RPD/semantic modelling). Experience with Autonomous Data Warehouse (ADW) and Oracle Fusion data structures. Data modelling, ETL/ELT, SQL tuning and general analytics engineering skillset. Proven ability to collaborate with AI teams, data scientists or ML engineers in shared workloads. ...

Oracle Analytics Cloud (OAC dashboards, DV, RPD/semantic modelling). Experience with Autonomous Data Warehouse (ADW) and Oracle Fusion data structures. Data modelling, ETL/ELT, SQL tuning and general analytics engineering skillset. Proven ability to collaborate with AI teams, data scientists or ML engineers in shared workloads. ...

Oracle Analytics Cloud (OAC dashboards, DV, RPD/semantic modelling). Experience with Autonomous Data Warehouse (ADW) and Oracle Fusion data structures. Data modelling, ETL/ELT, SQL tuning and general analytics engineering skillset. Proven ability to collaborate with AI teams, data scientists or ML engineers in shared workloads. ...

Oracle Analytics Cloud (OAC dashboards, DV, RPD/semantic modelling). Experience with Autonomous Data Warehouse (ADW) and Oracle Fusion data structures. Data modelling, ETL/ELT, SQL tuning and general analytics engineering skillset. Proven ability to collaborate with AI teams, data scientists or ML engineers in shared workloads. ...

Oracle Analytics Cloud (OAC dashboards, DV, RPD/semantic modelling). Experience with Autonomous Data Warehouse (ADW) and Oracle Fusion data structures. Data modelling, ETL/ELT, SQL tuning and general analytics engineering skillset. Proven ability to collaborate with AI teams, data scientists or ML engineers in shared workloads. ...

security clearance requirements Both SQL (e.g. MS SQL, Oracle...) and NoSQL skills (e.g. MongoDB, InfluxDB, Neo4J...) Data exchange and processing skills (e.g. ETL, ESB, API...) Development skills, e.g. Python Big data technologies knowledge, e.g. Hadoop stack Containerization experience, e.g. Docker, Kubernetes Understanding of generative AI, NLP (Natural Language Processing ...

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 ...

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 ...

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 ...

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 ...

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 ...

and workflows Managing MapFeature-based data models (everything in the platform is a MapFeature) Supporting: User-uploaded vector data with metadata and attachments Large ETL workflows (e.g. LiDAR, bathymetric XYZ) that generate streamable 3D Tilesets Designing async ETL workflows Working with cloud-native geospatial storage formats Collaboration & Leadership Collaborating closely … first approach Experience with API design (GraphQL, REST, or gRPC) Strong data modelling and system design skills Comfortable working with large datasets and ETL-style workflows Experience writing well-tested, maintainable code Ability to work autonomously and take ownership of complex systems Highly Desirable Experience with geospatial data and formats ...

and workflows Managing MapFeature-based data models (everything in the platform is a MapFeature) Supporting: User-uploaded vector data with metadata and attachments Large ETL workflows (e.g. LiDAR, bathymetric XYZ) that generate streamable 3D Tilesets Designing async ETL workflows Working with cloud-native geospatial storage formats Collaboration & Leadership Collaborating closely … first approach Experience with API design (GraphQL, REST, or gRPC) Strong data modelling and system design skills Comfortable working with large datasets and ETL-style workflows Experience writing well-tested, maintainable code Ability to work autonomously and take ownership of complex systems Highly Desirable Experience with geospatial data and formats ...

and workflows Managing MapFeature-based data models (everything in the platform is a MapFeature) Supporting: User-uploaded vector data with metadata and attachments Large ETL workflows (e.g. LiDAR, bathymetric XYZ) that generate streamable 3D Tilesets Designing async ETL workflows Working with cloud-native geospatial storage formats Collaboration & Leadership Collaborating closely … first approach Experience with API design (GraphQL, REST, or gRPC) Strong data modelling and system design skills Comfortable working with large datasets and ETL-style workflows Experience writing well-tested, maintainable code Ability to work autonomously and take ownership of complex systems Highly Desirable Experience with geospatial data and formats ...

and workflows Managing MapFeature-based data models (everything in the platform is a MapFeature) Supporting: User-uploaded vector data with metadata and attachments Large ETL workflows (e.g. LiDAR, bathymetric XYZ) that generate streamable 3D Tilesets Designing async ETL workflows Working with cloud-native geospatial storage formats Collaboration & Leadership Collaborating closely … first approach Experience with API design (GraphQL, REST, or gRPC) Strong data modelling and system design skills Comfortable working with large datasets and ETL-style workflows Experience writing well-tested, maintainable code Ability to work autonomously and take ownership of complex systems Highly Desirable Experience with geospatial data and formats ...

and workflows Managing MapFeature-based data models (everything in the platform is a MapFeature) Supporting: User-uploaded vector data with metadata and attachments Large ETL workflows (e.g. LiDAR, bathymetric XYZ) that generate streamable 3D Tilesets Designing async ETL workflows Working with cloud-native geospatial storage formats Collaboration & Leadership Collaborating closely … first approach Experience with API design (GraphQL, REST, or gRPC) Strong data modelling and system design skills Comfortable working with large datasets and ETL-style workflows Experience writing well-tested, maintainable code Ability to work autonomously and take ownership of complex systems Highly Desirable Experience with geospatial data and formats ...

and workflows Managing MapFeature-based data models (everything in the platform is a MapFeature) Supporting: User-uploaded vector data with metadata and attachments Large ETL workflows (e.g. LiDAR, bathymetric XYZ) that generate streamable 3D Tilesets Designing async ETL workflows Working with cloud-native geospatial storage formats Collaboration & Leadership Collaborating closely … first approach Experience with API design (GraphQL, REST, or gRPC) Strong data modelling and system design skills Comfortable working with large datasets and ETL-style workflows Experience writing well-tested, maintainable code Ability to work autonomously and take ownership of complex systems Highly Desirable Experience with geospatial data and formats ...

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 ...

Real Time Monitoring and Predictive AI Key responsibilities: Design and maintain scalable data pipelines. Structure, transform, and optimize data in Snowflake. Implement multi-source ETL/ELT flows (ERP, APIs, files). Leverage the AWS environment, including S3, IAM, and various data services. Prepare data for Data Science teams and … services including S3, IAM, Glue, and Lambda. Languages: Advanced SQL and Python for data manipulation, automation, and ML integration. Data Engineering: Proven experience in ETL/ELT pipeline design. AI/ML Integration: Ability to prepare data for model training and deploy AI models into production workflows (batch or real ...

Real Time Monitoring and Predictive AI Key responsibilities: Design and maintain scalable data pipelines. Structure, transform, and optimize data in Snowflake. Implement multi-source ETL/ELT flows (ERP, APIs, files). Leverage the AWS environment, including S3, IAM, and various data services. Prepare data for Data Science teams and … services including S3, IAM, Glue, and Lambda. Languages: Advanced SQL and Python for data manipulation, automation, and ML integration. Data Engineering: Proven experience in ETL/ELT pipeline design. AI/ML Integration: Ability to prepare data for model training and deploy AI models into production workflows (batch or real ...

Real Time Monitoring and Predictive AI Key responsibilities: Design and maintain scalable data pipelines. Structure, transform, and optimize data in Snowflake. Implement multi-source ETL/ELT flows (ERP, APIs, files). Leverage the AWS environment, including S3, IAM, and various data services. Prepare data for Data Science teams and … services including S3, IAM, Glue, and Lambda. Languages: Advanced SQL and Python for data manipulation, automation, and ML integration. Data Engineering: Proven experience in ETL/ELT pipeline design. AI/ML Integration: Ability to prepare data for model training and deploy AI models into production workflows (batch or real ...