126 to 150 of 172 ETL Jobs in the South East

ll work closely with consultants and client stakeholders to define clear project requirements and then bring those integrations to life. Role: SQL Developer, Data Integration Developer, SQL Integration Developer, ETL Developer, Database Integration Developer, Database Developer Salary: £40k - £45k base per annum + Bonus and Benefits. Benefits: 5% pension, 25 days holiday, two wellbeing days, Christmas shutdown, private healthcare, life More ❯

years Python automation, with 3+ years mentoring/reviewing others. Strong experience in testing, automation frameworks, and quality assurance. Full-stack experience (React, Python, Postgres). Bonus: LLM apps, ETL (Pandas), CI/CD (Git, Jenkins), and data automation. Handle actively welcomes applicants from under-represented backgrounds - we pride ourselves on attracting the best talent for every opportunity through a More ❯

Data Engineer Data Integration, ETL pipelines, BigQuery Fareham, Hampshire. This role is to work in the office full time. Salary circa £60,000 plus benefits In 2023, cybercrime cost UK businesses an estimated £21 billion. But don't think its the just the big corporates at risk, the average cybercrime value in the UK is just over £10,000 demonstrating More ❯

areas that can benefit from increased efficiency and accuracy through automation and AI solutions. As an Automation and AI specialist, you will document and report on automation projects, including ETL processes designed with Azure Data Factory, detailing the objectives, methodologies, outcomes, and lessons learned to stakeholders at various levels within the council. What you'll need to succeed To be More ❯

About the Role We are seeking an experienced Informatica/IDMC Developer to join a team on a long-term contract. This role will focus on developing and maintaining ETL processes, supporting cloud migration initiatives, and ensuring click apply for full job details More ❯

industry, however if you have multi industry experience this will be of advantage in navigating Sagas portfolio of business units. Other skills and experience required include: Data mapping and ETL processes Web Services Design Creating/running SQL queries Some basic exposure to programming. Understanding of business process modelling, RAD (Role Activity Diagrams) and UML modelling. Ability to critically-evaluate More ❯

team. Essential skills: Programming Languages such as Spark, Java, Python, PySpark, Scala (minimum of 2). Extensive Data Engineering hands-on experience (coding, configuration, automation, delivery, monitoring, security). ETL Tools such as Azure Data Fabric (ADF) and Databricks or similar ones. Significant hands-on experience of HDFS/Hadoop and on-prem (coding, configuration, automation, delivery, monitoring, security). … you MUST have the Right to Work in the UK long-term without the need for Company Sponsorship. KEYWORDS Senior Data Engineer, Coding Skills, Spark, Java, Python, PySpark, Scala, ETL Tools, Azure Data Fabric (ADF), Databricks, HDFS, Hadoop, Big Data, Cloudera, Data Lakes, Azure Data, Delta Lake, Data Lake, Databricks Lakehouse, Data Analytics, SQL, Geospatial Data, FME, QGIS, PostGIS. Please More ❯

Data Consultant - ETL Projects UK - Remote | Permanent Up to £55,000 + Benefits Are you a Data Consultant with a strong background in hands-on ETL development and data transformation? Are you looking to lead technically complex data migration projects that genuinely impact digital services across Local Government? We're hiring for an experienced Data Consultant to join a growing … a new cloud platform - working directly with raw datasets from legacy systems and transforming them into future-ready digital infrastructure. What You'll Be Doing: Leading data migration and ETL projects for UK public sector software implementations Analysing and mapping legacy database schemas (Oracle, SQL Server, Postgres) Extracting raw data from legacy systems, often with limited documentation Writing and executing … SQL scripts and/or using ETL tools to build data pipelines Creating transformation logic and performing reconciliation and validation Working closely with customers and internal teams to troubleshoot and ensure smooth migrations This role is not focused on BI or data visualisation - we're seeking someone who enjoys rolling up their sleeves with raw, inconsistent data and scripting solutions More ❯

Lead Azure Data Engineer Design and implement scalable data solutions using Azure technologies. Collaborate with the analytics team to align data architecture with business objectives. Develop and maintain robust ETL pipelines for data processing and integration. Ensure data security and compliance with industry standards and regulations. Monitor and optimise data storage and processing performance within Azure environments. Provide technical leadership … a real impact on strategic decision-making. A successful Lead Azure Data Engineer should have: Strong experience with Databricks, Azure Synapse, Delta Lake, and pipeline orchestration. Hands-on with ETL/ELT processes, data modeling (star schema), SQL, Python, and data governance tools (e.g., Purview, Unity Catalog). Experience implementing AI/ML solutions in Databricks or similar platforms. Knowledge More ❯

This is a hands-on, delivery-focused role where you’ll be diagnosing ingestion bottlenecks and designing scalable, secure solutions. 🛠️ What You’ll Need Proven experience in data ingestion , ETL pipelines , and data platform architecture Familiarity with DDAP or similar secure data platforms Strong understanding of government data environments and MOD protocols Ability to lead workshops and collaborate with stakeholders More ❯

This is a hands-on, delivery-focused role where you’ll be diagnosing ingestion bottlenecks and designing scalable, secure solutions. 🛠️ What You’ll Need Proven experience in data ingestion , ETL pipelines , and data platform architecture Familiarity with DDAP or similar secure data platforms Strong understanding of government data environments and MOD protocols Ability to lead workshops and collaborate with stakeholders More ❯

This is a hands-on, delivery-focused role where you’ll be diagnosing ingestion bottlenecks and designing scalable, secure solutions. 🛠️ What You’ll Need Proven experience in data ingestion , ETL pipelines , and data platform architecture Familiarity with DDAP or similar secure data platforms Strong understanding of government data environments and MOD protocols Ability to lead workshops and collaborate with stakeholders More ❯

data in stakeholder-preferred formats Work with data owners to improve data quality through dashboards and reporting tools Assist in the creation and testing of analytics applications and reports Extract, transform, load (ETL) and manipulate data as required Collaborate closely with the Applications team to deliver information across the business Provide 1st line support to users as part of the More ❯

with engineering teams to understand source systems and data structures. Develop and maintain dashboards and visualizations using Sisense or Power BI. Write efficient SQL/T-SQL queries to extract and manipulate data. Support data modelling and contribute to data warehousing efforts. Participate in ETL processes; experience with SSIS is a plus. Communicate findings clearly and effectively to non-technical … data . Proficiency in SQL/T-SQL and Microsoft Excel. Hands-on experience with Power BI, Sisense, or similar BI tools. Familiarity with data modelling, data warehousing, and ETL concepts. Exposure to SSIS or similar data integration tools is a plus. Strong communication and stakeholder management skills. Ability to work independently and collaborate across functions. More ❯

with engineering teams to understand source systems and data structures. Develop and maintain dashboards and visualizations using Sisense or Power BI. Write efficient SQL/T-SQL queries to extract and manipulate data. Support data modelling and contribute to data warehousing efforts. Participate in ETL processes; experience with SSIS is a plus. Communicate findings clearly and effectively to non-technical … data . Proficiency in SQL/T-SQL and Microsoft Excel. Hands-on experience with Power BI, Sisense, or similar BI tools. Familiarity with data modelling, data warehousing, and ETL concepts. Exposure to SSIS or similar data integration tools is a plus. Strong communication and stakeholder management skills. Ability to work independently and collaborate across functions. More ❯

and develop roadmaps aligned to business and data strategies. Translate business requirements into robust, compliant, and future-proof technical solutions. Design and implement data warehousing solutions, data lakes, and ETL processes. Ensure alignment of data architecture with organisational goals and regulatory standards. Keep ahead of emerging technologies and best practices in data architecture, analytics, and cloud platforms. Essential: Strong understanding … of the financial services industry. Extensive knowledge of scalable, efficient, and secure data architecture. Experience with data warehousing, data lakes, ETL processes. Proficiency in logical and physical data modelling. Knowledge of cloud platforms (AWS, Azure, Google Cloud, Snowflake). Excellent communication and stakeholder management skills. Proactive approach to emerging technologies and Microsoft tech stack. More ❯

hands-on experience Technical Delivery Manager skills Geospatial Data experience (including QGIS) FME Advanced Database and SQL skills Certifications : AWS or FME certifications are a real plus. Experience with ETL tools such as AWS Glue, Azure Data Factory, Databricks or similar is a bonus. The role comes with excellent benefits to support your well-being and career growth. KEYWORDS Principal … Geospatial Data Engineer, Geospatial, GIS, QGIS, FME, AWS, On-Prem Services, Software Engineering, Data Engineering, Data Analytics, Spark, Java, Python, PySpark, Scala, ETL Tools, AWS Glue. Please note, to be considered for this role you MUST reside/live in the UK, and you MUST have the Right to Work in the UK long-term without the need for Company 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 - knowledge of Hadoop and HDFS is 100% required! You MUST have also run a team to be considered for this role - it could … 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 … as our client is NOT offering sponsorship for this role. KEYWORDS Lead Data Engineer, Senior Data Engineer, Spark, Java, Python, PySpark, Scala, Big Data, AWS, Azure, Cloud, On-Prem, ETL, Azure Data Fabric, ADF, Hadoop , HDFS , Azure Data, Delta Lake, Data Lake Please note that due to a high level of applications, we can only respond to applicants whose skills More ❯

and shape the data architecture. If successful, you'll have the opportunity to grow the data function and step into a leadership role. The Role: Designing and building robust ETL pipelines using tools like dbt or Apache Airflow Integrating data from APIs, databases, and SaaS platforms into BigQuery Structuring clean, queryable data models to support analytics and reporting Collaborating with … analysts to deliver insightful dashboards via Looker Establishing data governance and quality processes Requirements: GCP (BigQuery), but open to other cloud backgrounds ETL: dbt, Apache Airflow, or similar BI: Looker (preferred), or other BI tools Languages: SQL, Python, Java Experienced data engineer, with strong ETL and cloud data warehouse experience Proficiency in SQL and data modelling best practices Experience with More ❯

and shape the data architecture. If successful, you'll have the opportunity to grow the data function and step into a leadership role. The Role: Designing and building robust ETL pipelines using tools like dbt or Apache Airflow Integrating data from APIs, databases, and SaaS platforms into BigQuery Structuring clean, queryable data models to support analytics and reporting Collaborating with … analysts to deliver insightful dashboards via Looker Establishing data governance and quality processes Requirements: GCP (BigQuery), but open to other cloud backgrounds ETL: dbt, Apache Airflow, or similar BI: Looker (preferred), or other BI tools Languages: SQL, Python, Java Experienced data engineer, with strong ETL and cloud data warehouse experience Proficiency in SQL and data modelling best practices Experience with More ❯

and shape the data architecture. If successful, you'll have the opportunity to grow the data function and step into a leadership role. The Role: Designing and building robust ETL pipelines using tools like dbt or Apache Airflow Integrating data from APIs, databases, and SaaS platforms into BigQuery Structuring clean, queryable data models to support analytics and reporting Collaborating with … analysts to deliver insightful dashboards via Looker Establishing data governance and quality processes Requirements: GCP (BigQuery), but open to other cloud backgrounds ETL: dbt, Apache Airflow, or similar BI: Looker (preferred), or other BI tools Languages: SQL, Python, Java Experienced data engineer, with strong ETL and cloud data warehouse experience Proficiency in SQL and data modelling best practices Experience with More ❯

preferably within a product team, or in a regulated environment Strong understanding of pension products, processes, and regulatory requirements. Demonstrable experience in data analysis, data migration, and defining data extract requirements. Hands-on experience with transformation and onboarding of third-party systems. Solid understanding of system integration principles and data quality assurance. Excellent analytical, problem-solving, and communication skills. Ability … with CRM implementation is preferable Desirable Skills Experience with pension administration platforms and data models. Familiarity with data governance frameworks and best practices. Knowledge of data transformation tools or ETL processes. Proficiency in using tools such as SQL, Excel, Visio, or data modelling software. Relevant certifications (e.g., BCS Business Analysis, Agile BA, or similar). Our client is offering remote More ❯

it’s increasing customer retention, boosting engagement, or improving product features, your work will drive tangible results. Why This Role is Great Use SQL and data warehousing skills to extract, model, and structure data that powers smarter decisions Deliver insights that lead to measurable business outcomes such as uplift in revenue, retention, or efficiency Collaborate with product and commercial teams … with experience querying large datasets and working with data warehouses Background in data analysis, BI, or product analytics with evidence of driving business outcomes Familiarity with data modelling and ETL processes Ability to communicate insights in a way that drives decisions and measurable impact Experience with BI tools such as Power BI or Tableau Confidence in managing multiple stakeholders and More ❯

it’s increasing customer retention, boosting engagement, or improving product features, your work will drive tangible results. Why This Role is Great Use SQL and data warehousing skills to extract, model, and structure data that powers smarter decisions Deliver insights that lead to measurable business outcomes such as uplift in revenue, retention, or efficiency Collaborate with product and commercial teams … with experience querying large datasets and working with data warehouses Background in data analysis, BI, or product analytics with evidence of driving business outcomes Familiarity with data modelling and ETL processes Ability to communicate insights in a way that drives decisions and measurable impact Experience with BI tools such as Power BI or Tableau Confidence in managing multiple stakeholders and More ❯

it’s increasing customer retention, boosting engagement, or improving product features, your work will drive tangible results. Why This Role is Great Use SQL and data warehousing skills to extract, model, and structure data that powers smarter decisions Deliver insights that lead to measurable business outcomes such as uplift in revenue, retention, or efficiency Collaborate with product and commercial teams … with experience querying large datasets and working with data warehouses Background in data analysis, BI, or product analytics with evidence of driving business outcomes Familiarity with data modelling and ETL processes Ability to communicate insights in a way that drives decisions and measurable impact Experience with BI tools such as Power BI or Tableau Confidence in managing multiple stakeholders and More ❯