1 to 25 of 30 Permanent ETL Jobs in the East of England

with AWS, Azure, or GCP Ability to work autonomously and make strong technical decisions Desirable Skills: dbt Python PostgreSQL or similar relational databases BI tools (QuickSight, Tableau, etc.) Reverse ETL, ML pipeline support, agile environment experience About You: You’re a technically strong data engineer who enjoys both hands-on implementation and the broader architectural picture. You take ownership, collaborate More ❯

to RfP response. Ability to be a SPOC for all technical discussions across industry groups. Excellent design experience, with entrepreneurship skills to own and lead solutions for clients Excellent ETL skills, Data Modeling Skills Excellent communication skills Ability to define the monitoring, alerting, deployment strategies for various services. Experience providing solution for resiliency, fail over, monitoring etc. Good to have More ❯

and other data solutions This is a huge opportunity to utilise your previous experience to assist in the successfully delivery of business transformation. Design, build and operate ELT/ETL pipelines using Microsoft based tools (Data Factory, Fabric). Maintain a medallion architecture (Bronze–Gold) for trusted, refined datasets. Develop, optimize, and maintain complex SQL queries to support analytics and … delivering technology projects within a fast-paced business, medium sized organisations. Deliver solutions within the appropriate framework and methodology whilst ensuring the supportability of services delivered. Experience working with ETL (Extract-Transform-Load) Pipelines. Proven experience building and operating pipelines on Azure (ADF, Synapse, Fabric) Familiarity with version control systems (Git, GitHub) and CI/CD best practices Excellent understanding More ❯

your chance to work on exciting projects, design robust data architectures, and help organisations unlock the full potential of their data. Key Responsibilities: Build and optimise data pipelines and ETL workflows using Microsoft Fabric and Azure Synapse or Databricks. Implement scalable solutions for data ingestion, storage, and transformation. Develop clean, reusable Python code for data engineering tasks. Research and integrate More ❯

Ability to work independently and thrive in a team environment. Eagerness to learn and develop technical skills; a degree or relevant experience is required. Knowledge of data warehousing and ETL processes. Familiarity with Power Apps, Azure Data Factory, and Power Automate is advantageous. Someone with a can do attitude who pays attention to detail and can spot irregularities. Office Angels More ❯

Excellent communication skills, able to bridge technical and business discussions Preferred Skills Knowledge of ServiceNow, SAP, Salesforce, Pega, or other SaaS platforms for integration purposes Experience with data transformation, ETL tools, or scripting languages (Python, JavaScript) Understanding of security, compliance, and governance in cloud integrations More ❯

business intelligence initiatives. Key Responsibilities: Design & maintain AWS BI infrastructure (Redshift, S3, EMR) using Terraform and IaC best practices. Develop CI/CD pipelines (Jenkins, GitHub Actions) to automate ETL and Power BI code deployments. Manage environments (Dev, QA, UAT) and automate data refreshes for accuracy and consistency. Oversee data pipelines and big data workflows (EMR, Spark) for high-performance … analytics. Optimize code for ETL and Power BI (DAX, data models, refresh scheduling) to enhance performance. Implement observability and logging (CloudWatch, Grafana, ELK) for proactive system monitoring. Collaborate cross-functionally with BI, Platform, and Data teams on releases and issue resolution. Enforce security & compliance (RBAC, encryption, GDPR/HIPAA) across AWS services. Monitor performance & costs in AWS, driving optimisation and … EMR, and IaC (Terraform/CloudFormation); strong understanding of big data architecture and performance optimisation. CI/CD & Automation: Skilled in Jenkins, GitHub Actions, and Python scripting for automated ETL and Power BI deployments. Data Engineering: Proficient in SQL, Spark, EMR, and data warehousing; experienced in optimizing ETL pipelines and Power BI models (DAX, refresh scheduling). Containerization & DevOps: Hands More ❯

high-quality data products, this role offers significant technical growth and hands-on experience. Responsibilities Supporting the migration of data pipelines from Netezza to Snowflake. Building reliable ELT/ETL processes, API integrations, and automated workflows (Workato). Developing and maintaining data models that support BI and analytics use cases. Ensuring data quality through cleansing, validation, and testing. Troubleshooting data … can trust. Contributing to the establishment of new in-house data engineering standards. Learning from and supporting the new Data Engineering Lead, Linda. Skills & Experience Experience in data engineering, ETL/ELT development, or data warehousing. Strong SQL skills and experience with Snowflake, Netezza, or similar DW platforms. Understanding of data modelling and pipeline design. Ability to articulate technical concepts More ❯

high-quality data products, this role offers significant technical growth and hands-on experience. Responsibilities Supporting the migration of data pipelines from Netezza to Snowflake. Building reliable ELT/ETL processes, API integrations, and automated workflows (Workato). Developing and maintaining data models that support BI and analytics use cases. Ensuring data quality through cleansing, validation, and testing. Troubleshooting data … can trust. Contributing to the establishment of new in-house data engineering standards. Learning from and supporting the new Data Engineering Lead, Linda. Skills & Experience Experience in data engineering, ETL/ELT development, or data warehousing. Strong SQL skills and experience with Snowflake, Netezza, or similar DW platforms. Understanding of data modelling and pipeline design. Ability to articulate technical concepts More ❯

With experience in the following subject, technologies and tool: 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) Knowledge in Generative AI (Artificial More ❯

internal customers. What we're 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) Knowledge in Generative AI (Artificial More ❯

internal customers. What we're 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) Knowledge in Generative AI (Artificial More ❯

business decision-making. Skills & Experience Proven experience with SAP Business Objects (Data Services and Information Design Tool). Strong SQL skills (ideally MySQL; Redshift experience advantageous). Experience developing ETL processes from multiple data sources. Background in dashboard design and data visualisation. Excellent communication and analytical skills. Minimum of three years’ experience in a similar Reporting Developer or BI-focused More ❯

TOGAF/Zachman enterprise architecture frameworks Cloud native data platforms - Azure/AWS/GCP Data mesh Data Governance Data Lakehouse, warehouse and virtualisation concepts MDM/Metadata management ETL/ELT processes and data pipeline builds Data readiness for AI Strong understanding of business architecture Be part of a team shaping the future of data-driven technology within the More ❯

practices. Skills and Experience Required: Proven experience with SAP Business Objects (Data Services and Information Design Tool). Strong SQL skills (ideally MySQL; Redshift experience advantageous). Experience developing ETL processes from multiple data sources. Background in dashboard design and data visualisation. Excellent communication and analytical skills. Minimum of three years’ experience in a similar Reporting Developer or BI-focused More ❯

with SAP Business Objects (Data Services and Information Design Tool). Mortgages or secured credit sector experience essential Strong SQL skills (ideally MySQL; Redshift experience advantageous). Experience developing ETL processes from multiple data sources. Background in dashboard design and data visualisation. Excellent communication and analytical skills. Minimum of three years’ experience in a similar Reporting Developer or BI-focused More ❯

candidate would have: Experience with SQL technologies (e.g. MS SQL, Oracle). Experience with noSQL technologies (e.g. MongoDB, InfluxDB, Neo4J). Familiarity with data exchange and processing methods (e.g. ETL, ESB, API). Proficiency in development languages such as Python. Knowledge of big data technologies (e.g. Hadoop stack). Understanding of NLP (Natural Language Processing) and OCR (Object Character Recognition More ❯

a backend platformthat schedules ingestion, normalization, storage, and historical tracking of security artifacts (BOMs, SAST/SCA findings, fuzzing results) in a scalable, tool-agnostic fashion. Develop and maintain ETL pipelinesand database schemas for high-throughput ingestion and historical trend analysis. Expose data via well-documented REST APIsfor dashboards, automation, and downstream integrations. Collaborate with security and engineering teamsto define More ❯

Analyse existing data structures 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. 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 in AWS ETL technologies, including Glue, Data Sync, DMS, Step Functions, Redshift, DynamoDB, Athena, Lambda … RDS, EC2 and S3 Datalake, CloudWatch for building and optimizing ETL pipelines and data migration workflows. Working knowledge of Azure data engineering tools, including ADF (Azure Data Factory), Azure DB, Azure Synapse, Azure Data lake and Azure Monitor providing added flexibility for diverse migration and integration projects. Prior experience with tools such as MuleSoft, Boomi, Informatica, Talend, SSIS, or custom More ❯

an award-winning business in a phase of growth, in a newly created role to lead a team and be hands on in replacing old tech systems and create ETL pipelines. We’re a small high-impact team but Jollyes is growing! Still small enough that you can launch a new product within days, but big enough to see the … your key responsibilities: Backend Development : Design, build, and maintain serverless and traditional backend architectures using best practices. (We build on AWS using Lambdas and ECS images – largely in NodeJS.) ETL Pipeline Management: Develop and optimise data pipelines to enable seamless data flow and transformation. (We currently use a mix of SSIS, ETL Works, Airflow, Snowflake and are moving to Airflow … solving and wants to grow in a fast-paced retail environment. Share our values of being: Wise, Focused, Genuine, Eager, Together Proficient in SQL and Python with Experience with ETL workflows Experience with cloud-based data environments (AWS: S3, Lambda, ECS) Bachelor’s degree or equivalent qualification or equivalent experience in Data Science, Computer Science, Statistics, or a related field. More ❯

Analyse existing data structures 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 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. 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 organisational goals and regulatory standards. Required Skills Expert-level SQL skills for complex query … using AWS-native tools such as DMS, Glue, DataSync, Step Functions, Redshift, Athena, Lambda, RDS, EC2, S3 Data Lake, and CloudWatch. Strong knowledge of data extraction, transformation, and loading (ETL) processes, leveraging tools such as Talend, Informatica, Matillion, Pentaho, MuleSoft, Boomi, or scripting languages (Python, PySpark, SQL). Solid understanding of data warehousing and data modelling techniques (Star Schema, Snowflake More ❯

purpose of this role is to drive site performance through the provision of timely, accurate and insightful information. The jobholder is responsible for providing financial management reporting for the ETL which will be used in the weekly, monthly, quarterly, and annual cycle click apply for full job details More ❯

analyse existing data structures and design robust migration strategies to move complex datasets to cloud environments. You will develop scripts and automated processes for data extraction, transformation, and loading (ETL), ensuring data quality and integrity throughout the migration process. Working closely with business users and IT teams, you will plan, coordinate, and execute migrations within strict timelines, troubleshoot issues promptly … development, performance tuning, and indexing strategies, enabling accurate and efficient migration from on-premises databases such as SQL Server, Oracle, MySQL, and NoSQL to AWS cloud. Strong knowledge of ETL processes is essential, including experience with tools such as Talend, Informatica, Matillion, Pentaho, MuleSoft, Boomi, or scripting languages like Python, PySpark, and SQL. A solid understanding of data warehousing and … and Snowflake schemas, is required. Ideally you will also have a comprehensive knowledge of AWS glue. To succeed, you will demonstrate proven experience in data engineering, data migration, and ETL development, as well as strong analytical skills to assess data quality, resolve inconsistencies, and manage end-to-end migration projects. Your ability to collaborate with technical and non-technical stakeholders More ❯

Leading a team across engineering and integration - Work to ensure the data infrastructure of the business effectively supports analytics, AL, machine learning ML and reporting - Designing of data pipelines, ETL, ELT processes and architecture - Work with internal stakeholders and multiple 3rd parties to seamlessly integrate systems, platforms and applications To be considered suitable for this Data Engineering Manager role you … the following: - Team leadership and guidance - Data engineering and aligning of data to business needs - Cloud technologies (Azure/AWS) - Understanding of Agile methodology - Data warehousing and Data Lakes - ETL/ELT - DevOps understanding - API integrations More ❯

Leading a team across engineering and integration - Work to ensure the data infrastructure of the business effectively supports analytics, AL, machine learning ML and reporting - Designing of data pipelines, ETL, ELT processes and architecture - Work with internal stakeholders and multiple 3rd parties to seamlessly integrate systems, platforms and applications To be considered suitable for this Data Engineering Manager role you … the following: - Team leadership and guidance - Data engineering and aligning of data to business needs - Cloud technologies (Azure/AWS) - Understanding of Agile methodology - Data warehousing and Data Lakes - ETL/ELT - DevOps understanding - API integrations More ❯