26 to 50 of 173 ETL Jobs in England with Remote Work Options

concepts, including infrastructure as code, serverless computing, and containerization. Expertise in designing scalable and resilient architectures for data-intensive applications. Familiarity with data modeling, ETL processes, and data integration techniques. Proficiency in programming languages commonly used in cloud environments (e.g., Python, Java). Strong knowledge of security principles and best more »

deadlines. Develop and uphold the best practice standards, design patterns and documentation for data management and data engineering. Design, build, and manage data pipelines, ETL processes, and data orchestration workflows that transfer data smoothly across different systems and platforms. Create system design for integrating and managing data. Ensure that you more »

processes. Develop, optimise, and maintain Power BI Reports, Apps and Dashboards in line with business requirements, supporting continuous improvement. Responsible for the management of ETL processes, including but not limited to, D365 F&O data exports, SQL data transformation and Power BI data model refreshes. Monitor all BI data processes more »

contribute to the technical aspects in the upkeep of the data estate. Focusing on hands-on development, enhancement, and maintenance of data models and ETL processes within the data estate You will emphasise the importance of data quality and governance in your project work, contributing to the organisational data model more »

analytic role, with a focus on analysis, reporting and visualisation in Looker Studio + Highly proficient in GCP/GBQ, SQL, data modelling and ETL processes + Experience with Supermetrics, GitHub, DBT, Google Big Guery and Shopify + Strong communication and presentation skills to effectively convey insights to both technical more »

and Machine Learning engineers and it is responsible for supporting data scientists in deploying, maintaining and monitoring an increasing number of Python-based microservices, ETL pipelines, SaaS models, databases and vector stores. The MLOps Lead would need to act as an interface between data scientists, the data & analytics team and more »

Azure and Snowflake, enhancing data capabilities for analytics and science. What you need: 3+ years of hands-on experience as a Data Engineer, building ETL pipelines and managing data lifecycle. Strong Python coding experience. 2+ years of commercial experience developing in Snowflake. Good understanding of cloud principles (ideally Azure but more »

with excellent analytical and problem-solving abilities Expertise using modern data tools (SQL, Python) Snowflake and AWS experience preferred. Good knowledge of Data Warehouses, ETL pipelines Good understanding of Cloud-based environments AWS and/or Azure Good appreciation of the modern software development lifecycle, CI/CD Benefits for 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 »

technologies like Python, Scala, Spark, PySpark or Ab Initio, Glue, Starburst, Snowflake, Redshift, Starburst, Hybrid(on-prem to cloud) for building data pipelines and ETL processes. Experience with data pipeline orchestration tools like Apache Airflow . Knowledge of SQL and ability to write complex queries for data transformation and analysis. more »

technologies like Python, Scala, Spark, PySpark or Ab Initio, Glue, Starburst, Snowflake, Redshift, Starburst, Hybrid(on-prem to cloud) for building data pipelines and ETL processes. Experience with data pipeline orchestration tools like Apache Airflow . Knowledge of SQL and ability to write complex queries for data transformation and analysis. more »

analyst, some of the data tasks you will work on are: Participating in data discovery workshops to develop proprietary supply chain-specific datasets Writing ETL code in Python Updating spreadsheets in Excel Connecting different services like ChatGPT and Salesforce on Google Cloud Performing data analyses in SQL (BigQuery) Building dashboards more »

SQL Managed Instances o Database schema design and implementation -Relational databases, T-SQL, Stored Procedures, Functions and Views, Indexes, SQL jobs and alerts. o ETL Development and Data Warehousing experience - SSIS, SSRS, Azure Data Factory o CI & CD including Azure DevOps pipelines. o Experience in high availability databases/servers more »

high availability and disaster recovery scenarios Designing robust implementation, migration, and test plans Database administration Performance optimisation – Queries, indexing, database design, storage Data integration – ETL/ELT Data security Proven troubleshooting skills Scalability Maintenance and operations Licensing What you’ll need Minimum 2 years’ experience with SQL Server more »

technical colleagues and providing updates on data activity progress. Proficient in SQL and data modeling. Experience with Python Extensive technical expertise in data warehousing, ETL processes, and BI reporting technologies. Experience in working with and administering modern BI platforms like Looker, Qlik, Domo, or Power BI. Please contact Joely Callaghan more »

and data integrations by monitoring the performance of reporting applications and managing upgrades and developments. Key Skills: Experience working with Power BI. Familiar with ETL tools and principles, including Azure, Synapse, and Fabric environments. Proficient in developing complex BI reports utilising multiple data sources and joins. Comprehension of the necessity more »

Data Factory, Azure Data Lake Storage, Azure Synapse, Azure HD Insight etc. Expertise in SQL programming, including designing and optimising complex queries and databases ETL process design using Azure Data Factory Data warehouse development experience using Azure Synapse Analytics Experience with Snowflake would be desirable but not essential Excellent communication more »

Data Factory, Azure Data Lake Storage, Azure Synapse, Azure HD Insight etc. Expertise in SQL programming, including designing and optimising complex queries and databases ETL process design using Azure Data Factory Data warehouse development experience using Azure Synapse Analytics Experience with Snowflake would be desirable but not essential Excellent communication 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 »

sprint team, helping to develop products from design to testing to release Strong SQL skills with experience using various data warehouses and the related ETL-style processes A familiarity with a range of BI tools (PowerBI, Tableau, Mode Analytics, etc) and web analytics packages (Google Analytics, Mixpanel, Amplitude, etc) An more »

the company. You will be part of developing and creating the data sets needed for BI and analytics including, where needed, the data repositories, Extract/Transform/Load routines and validation mechanisms needed to underpin reporting and analysis. You will be establishing the integration with other databases and systems more »

Requirements: 3+ years’ experience working in a Data Engineer or related position. A very good understanding of Data Warehouse architecture, and the concepts of ETL/ELT. Experience with Cloud technology, ideally Azure. Strong knowledge of one or more programming languages, including SQL & Python Strong communication skills to be able more »

their next step in their career and wants to take on more responsibility. Technical Skillset: Experience as a data engineer developing and maintenance of ETL/ELT processes Good experience in Data Modeling within a cloud-based data platform Strong experience with SQL Server Azure data engineering stack, including Azure more »

governance concepts, practices, and frameworks. Strong technical skills in data modelling, metadata management, and data lineage. Datawarehouse design and implementation Experience with SQL Server ETL processes A good knowledge of Power BI reporting Desirable Skills Nexthink Software SNOW Software JAMF Software Accreditations Microsoft Data Analyst Microsoft Data Engineer more »

and Sell additional annual leave Funded Learning and development programmes The Successful Data Engineer will have: Experience in developing and designing data pipelines and ETL processes Previous experience of data warehousing Utilise SAS for data reporting and analysis Skilled in SQL, Python, Git and Databricks In depth experience of reporting more »