1 to 25 of 211 ETL Jobs with Hybrid or WFH Options

Location: London – Hybrid Contract: 6 Months Inside IR35 (potential for additional 6 months) Skills: Data Engineer, DBT, Data Build Tool, GCP, Google Cloud Platform, ETL, ELT, SQL, PowerBI, Data Warehouse, Snowflake We are looking for a skilled Data Engineer to work on a dynamic and innovative project within a well … using state-of-the-art tools and technologies, including DBT, GCP, and PowerBI. - Design and implement efficient ELT/ETL processes to extract, transform, and load data from various sources into our data warehouse. - Collaborate with cross-functional teams to understand data requirements and deliver robust solutions to meet business … cloud environment. - Experience with Google Cloud Platform (GCP) services such as BigQuery, Dataflow, and Pub/Sub. - Strong understanding of ELT (Extract, Load, Transform) and ETL (Extract, Transform, Load) methodologies. - Familiarity with visualisation tools like PowerBI for creating insightful dashboards and reports. - Excellent problem-solving skills and ability to work more »

ETL Developer 1 day a month in their Cumbria offices ETL, JavaScript, Python, Data Modelling , Kafka 55k & benefits Join an award-winning software company nestled in the serene beauty of the Lake District. We're on the lookout for a dynamic ETL Developer to be part of their growing team … role is all about data from crafting storage architectures to orchestrating extraction, formatting, and presenting data to end-users. Take charge of the entire ETL process, ensuring seamless data flow and management. Enjoy the flexibility of remote work, with occasional visits to their Penrith/Lake District offices (expenses covered … is the perfect time to hop aboard their success story, as they embark on exciting growth initiatives and groundbreaking projects. Core experience for this ETL role: Proven track record as an ETL developer or similar data-focused role Expertise in transferring data between transactional and warehouse solutions Consultation with data more »

a plus. DB: Azure SQL Database, Cosmos DB, NoSQL, MongoDB, and HBase are a plus Methodologies: Agile and DevOps must have Concepts: ELT/ETL, DWH, APIs (RESTful), Spark APIs, FTP protocols, SSL, SFTP, PKI (Public Key Infrastructure) and Integration testing more »

Databricks Spark Delta Lake SQL Python PySpark ADLS Day To Day Responsibilities: Extensive experience in designing, developing, and managing end-to-end data pipelines, ETL (Extract, Transform, Load), and ELT (Extract, Load, Transform) solutions. Maintains a proactive approach to staying updated with emerging technologies and a strong desire to continuously more »

Project Delivery Experience Face-to-face communication skills Day To Day Responsibilities: Extensive experience in designing, developing, and managing end-to-end data pipelines, ETL (Extract, Transform, Load), and ELT (Extract, Load, Transform) solutions. Maintains a proactive approach to staying updated with emerging technologies and a strong desire to continuously more »

data modelling, schema design, and database optimization techniques Tech Skills: Proficiency in modern cloud-based data platforms and technologies. Expertise in data analysis, modelling, ETL, data warehousing, and core data infrastructure services. Familiarity with technologies such as Microsoft Synapse, Azure Data Factory, Databricks Notebooks, Python/PySpark, and more. Proficiency more »

our principal CRM system the successful candidate will have varied and demonstratable experience in a range of data and information systems, ETL (Extract, Transform and Load) concepts and a working knowledge of SQL. Beyond development, you will create user manuals, technical documentation, and training materials to empower end-users and more »

Business Intelligence/Analytics (Power BI). They will have experience with Microsoft BI stack, relational database and SQL experience alongside experience working with ETL and/or data integration tools (preferably Informatica). Experience working in an agile environment (preferably with Azure DevOps) is also essential. Experience within the more »

productivity across teams and unlocking the full potential of data within the organisation. Responsibilities Maintain and optimise available data warehouse infrastructureDesign, implement and document ETL procedures for intake of new data from relevant sources employing industry standards and best practices; as well as ensure data is verified and quality checkedCollaborate more »

data modelling, schema design, and database optimization techniques Tech Skills: Familiarity with cloud-based data platforms and technologies. Good knowledge of data analysis, modelling, ETL processes, data warehousing, and core data infrastructure services. Exposure to technologies like Microsoft Synapse, Azure Data Factory, Databricks Notebooks, Python/PySpark, and similar tools. more »

Requirements Bachelor’s degree in Computer Science, a relevant technical field, or equivalent experience. Experience designing cloud data warehouse solutions, data modelling, and building ETL/ELT processes, preferably on GCP or equivalent platforms (AWS, Azure, Snowflake). Proficiency with SQL, Python, Docker, and Terraform (or similar IaC tools). more »

to structure data and make databases work efficiently. Tech Skills: Familiarity with cloud-based data platforms and technologies. Good knowledge of data analysis, modelling, ETL processes, data warehousing, and core data infrastructure services. Exposure to technologies like Microsoft Synapse, Azure Data Factory, Databricks Notebooks, Python/PySpark, and similar tools. more »

on-site in London. You will have the following experience and qualifications. Excellent proven experience in: Ability to maintain and develop complex data warehouses ETL techniques (using SSIS or similar tools) Handling multiple data sources and reconciling records across systems Writing complicated functions, procedures and call outs in T-SQL more »

demonstrate working on large engagements * Experience of AWS tools (e.g. Athena, Redshift, Glue, EMR) * Java, Scala, Python, Spark, SQL * Experience of developing enterprise grade ETL/ELT data pipelines. * Deep understanding of data manipulation/wrangling techniques * Demonstrable knowledge of applying Data Engineering best practices (coding practices to DS, unit more »

impact on internal stakeholders and customers is understood. Qualifications What we’re looking for Proficient across many domains of data engineering, including ELT/ETL, metadata management, data integration, data management in transit and at rest and data streaming. Experience of Kimball modelling techniques to design databases & data warehousing solutions more »

implement the key payment data models for various analytics, ML/AI solutions, and data-centric product features, which includes building batch/stream ETL pipelines for payment golden datasets, creating unified data monitoring and alerting system for operation excellence, and setting up the standard for payment data governance. Successful more »

high-performance data systems that are foundational to driving business growth and success. Key responsibilities: Implementing scalable data architectures and systems. Developing and maintaining ETL (Extract, Transform, Load) pipelines. Managing data storage, backup, and recovery mechanisms. Writing complex SQL queries to extract data for analysis. Developing and implementing data security more »

requirements into technical requirements & development experience using data discovery tools such as MS Power BI, QlikView, Tableau Ability to model and transform data, build ETL solutions and present data in a useful business context Experience developing data warehouses & data marts using the Kimball methodology Experience or awareness of Big Data more »

and Business teams to enhance our customer-centric culture. Ideal Candidate Profile: Proven track record in big data engineering with a solid understanding of ETL pipelines and data system projections. Proficiency in Python, PySpark, SQL, and familiarity with data science tools like R, ML, AI. Strong foundation in database management more »

part of a large-scale project to develop a new Data Warehouse. Responsibilities include: Being an SME in designing & building the Data Warehouse Customising ETL procedures, data mappings, and transformations to coordinate data integration Documenting solutions, tools and processes Implementing validation procedures to ensure high quality of data Collaboration with more »

part of a large-scale project to develop a new Data Warehouse. Responsibilities include: Being an SME in designing & building the Data Warehouse Customising ETL procedures, data mappings, and transformations to coordinate data integration Documenting solutions, tools and processes Implementing validation procedures to ensure high quality of data Collaboration with more »

Occasionally, being able to lend hands-on support to the team working on and using the following technologies:Data Warehousing, Data Modelling, Database Design, ETL, AWS Redshift, SQL Server, Power BI, Cloud/DevOps AWS, Docker, Terraform, Bitbucket, Bamboo, Team City, Octopus CI/CD deploy pipeline, Agile, pair programming more »

you apart. Experience with DevOps practices, CI/CD pipelines, and deployment automation is a definite plus. If you have experience in data modeling, ETL processes, and data analytics/reporting tools like PowerBI, we'd love to hear about it. Show us your excellent interpersonal skills and ability to more »

Strong network and firewall knowledge Strong Information Security and IT security/Cyber controls Deep experience/understanding of all elements of data engineering (extract/transform/load), visualization, analytics, and machine learning Designing, deploying, maintaining, and developing data systems and controls. Benefits This is a fantastic opportunity for more »

engineers, providing guidance, coaching, and support to foster their professional growth and development. You will lead the delivery, implementation, and optimization of data pipelines, ETL processes, and data warehouse solutions to support business requirements, analytical and data science needs. You will collaborate with cross-functional teams including data science, analytics more »