1 to 25 of 389 ETL Jobs in England

years in Data Engineering roles Minimum of 3 years hands-on and expert proficiency in GCP (Google Cloud Platform) Demonstrated leadership experience. An extensive ETL/ELT background developing data pipelines, optimising queries, and enhancing overall database performance. Deep expertise in SQL and Data Lake/Warehouse solutions Advanced skills more »

their career to the next level. Key skills/Experience Experience working as BI Analyst Solid SQL skills Knowledge around data warehousing concepts and ETL processes Knowledge of Python or R Strong communication skills and interpersonal skills Experienced using PowerBI If this role sounds of interest and you would like more »

bespoke in house platform being used. Enhance and develop processes and reports to monitor outputs using R and Qlikview Support the data process, including ETL and data audits Skills you will bring include: Experience with R, SQL Server, Business Objects Experience with GitHub Advanced Microsoft office, including VBA Some knowledge more »

following continuous growth and success. As a Data Engineer you will be involved in: Design, develop, test and support data collection, data integration and ETL applications to make information and data available to key client stakeholders and technical interfaces Model data requirements, data sources and data flows to bring order … a solid understanding of programming languages along with experience of applying them in your previous role Experience in using Data Engineering tools and technology ETL tools including Python and a number of the Big Data Applications. Rather than specifying a list of technologies we look for, demonstrable ability in what more »

servers, 20,000+ database instances, and over 150 PB of data. As a Spark Scala Engineer, you will have the responsibility to refactor Legacy ETL code, for example DataStage into PySpark using Prophecy low-code no-code and available converters. Converted code is causing failures/performance issues. Your responsibilities more »

looking for a BI Developer to join the team and help take ownership of the Data Warehouse. They need someone that is competent with ETL and Data Engineering responsibilities, with the main tools will being both SSIS and Azure Data Factory. They offer flexible working patterns with the current hybrid more »

frameworks and platforms Agile and Continuous Delivery Continuous integration pipelines Strong Python AWS or Azure with large-scale streaming data (Pulsar, Kafka, Kinesis, etc) ETL management; structured or custom (Airflow, Luigi, etc) Bonus Robust experience managing and developing an engineering team Delta lake or Iceberg Trino or Presto Graphql Good more »

development processes. Additional duties as needed. Preferred Skills: Experience with additional frameworks and libraries such as PyTorch or TensorFlow. Knowledge of data engineering and ETL processes. Experience with version control systems, particularly Git. Knowledge of telecommunications technologies and industry standards. Qualifications: Bachelor's or Master's degree in Computer Science more »

proposing solutions for improvements Skills and Experience Excellent knowledge of SQL Knowledge of Python (other languages might be equivalent) Experience in creating and maintaining ETL pipelines Know your way around Unix based operating system Experience working with any major cloud provider (AWS, GCP, Azure) Fluency in English Experience using Apache more »

up with your own solution. You will be building dashboards in Python as well as be in charge of Transformation when it comes to ETL pipelines. Experience wise, you’ll need to be a SQL Server expert with strong architecture skills and also strong skills with Python, and DBT. The more »

work is done within Python, C# and Scala with a range of databases. Snowflake is widely used, as are Docker and Kubernetes for containerisation. ETL and ELT tech are also used every day, primarily Airflow, Spark, Hive and a lot more. You’ll need to come from a strong academic more »

role in building state-of-the-art Databricks and Snowflake Lakehouse solutions from scratch. If you have experience with Azure, Databricks or Snowflake, SQL, ETL, and a passion for consulting, please get in touch. Key Responsibilities: Design, develop, and maintain cutting-edge Databricks or Snowflake Lakehouse solutions from scratch Collaborate … with cross-functional teams to understand data requirements and translate them into efficient ETL processes. Work with Azure services to ensure data storage, security, and scalability. Develop and optimize SQL queries for data extraction and analysis. Stay updated on industry trends and regulatory changes within the insurance sector to inform … strategies and solutions. Experience: Proven experience in building and maintaining data lakes or data warehouses using Databricks on Azure. Strong expertise in SQL and ETL processes. Recent experience working within consulting, with a deep understanding of how to be a true 'consultant' Strong problem-solving skills and the ability to more »

Who we are Selwood Housing Group is a not-for-profit housing association committed to providing affordable local homes for our customers. We have over 7,000 homes in Wiltshire, Somerset and Bath and North-East Somerset and employ over more »

environments Excellent knowledge of data technology, data transformation tools, and data governance techniques Good understanding of Quality and Information Security principles Experience with Azure, ETL Tools such as ADF and Databricks Advanced Database and SQL skills, alng with SQL, Python, Pyspark, Spark SQL Strong understanding of data model design and more »

solutions and presenting ideas. Some light line management and mentoring of junior data engineers. Working on a variety of projects including building out infrastructure, ETL work, architecture design, advancing and maintaining warehouses, etc. YOUR SKILLS AND EXPERIENCE High levels of proficiency in Azure Cloud. Strong capabilities with Python, Snowflake, and more »

are looking for a new challenge, please submit your CV for initial screening and more details. Data Architect Desired Skills and Experience AWS|Snowflake|ETL more »

minimize manual processes and strong software engineering proficiency in this role is key. Key Responsibilities: - Design and implement scalable data pipelines that extract, transform and load data from various sources into the data lakehouse. - Help teams push the boundaries of analytical insights, creating new product features using data. - Develop and … of our data architecture and data governance capabilities. - Develop and maintain data models and data dictionaries. Skills and Qualifications: - Significant Experience with data modelling, ETL processes, and data warehousing. - Significant exposure and hands on at least 2 of the programming languages - Python, Java, Scala, GoLang. - Significant experience with Hadoop, Spark more »

and migration of data and services from a smaller firm that the bank has recently acquired. This will involve building out a Java-based ETL service to transfer large volumes of sensitive trade and deal data, ensuring quality is preserved and that it is easily accessible for Front Office staff more »

and day to day operations. Knowledge and experience in NEC's data loaders and configuration will be essential. You will also develop and manage ETL workloads to run predictably, efficiently and effectively whilst monitoring, maintaining and supporting all data management services and processes, liaising with IT, service vendors and internal … data exploration. Identification and resolution of problems in databases, data processes, data products and services Analysis and reporting of test activities and results Extensive ETL experience Experience of other housing management systems such as Active H, Open Housing or Northgate would be highly beneficial Spectrum IT Recruitment (South) Limited is more »

leadership/mentoring experience is essential. Experience with one of the main cloud providers. Python Terraform would be ideal. Experience in scaling data systems, ETL processes etc. Benefits Flexible working hours, hybrid working arrangement. Annual Bonus - 25% 24 days paid annual leave each year, buy and sell scheme. Company Pension more »

data models, schemas to support business requirements Develop and maintain data ingestion and processing systems using various tools and technologies, such as SQL, NoSQL, ETL, Luigi, Airflow, Argo, etc. Implement data storage solutions using different types of databases, such as relational, non-relational, or cloud-based. Working collaboratively with the … and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL) You have framework experience within either Flask, Tornado or Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition and development of more »

and SSMS Knowledge of data handling and SQL advanced knowledge of SQL for complex troubleshooting SSIS for Azure MS Visual Studio specifically Report Designer ETL workflow/Visual Studio SSRS SSRS Reports/RDL's API’s This small and rapidly growing consultancy has some brilliant projects to get going more »

opportunities. Improving financial processes and providing reporting to key stakeholders. YOUR SKILLS & EXPERIENCE: FinOps certified. Commercial experience using SQL to query data. Experience with ETL pipeline setup. Previous experience managing GCP services including DataFlow, Vertex Ai, Cloud Functions etc. Strong stakeholder management experience and communication skills. THE BENEFITS: The selected more »

for this role. Your responsibilities as a Data Engineer will include, but not be limited to: Spearhead Data Engineering work within the team, including ETL pipelines, CI/CD, platform engineering. Help guide and mentor junior team members on key Data Engineering projects for the business. Engage with senior business more »

interactions; be the voice of the customer, from a technical perspective. Use existing tools and/or develop custom implementations for data ingestion pipelines, ETL and normalisation. Support account managers in delivery of specialised customer-specific technical support, documentation, and training. Manage customer delivery plan to ensure on-time delivery more »