17 of 17 DemandTrendPermanent ETL Jobs in Leeds

work as part of a collaborative team to solve problems and assist other colleagues. • Ability to learn new technologies, programs and procedures. Technical Essentials: • Expertise across data warehouse and ETL/ELT development in AWS preferred with experience in the following: • Strong experience in some of the AWS services like Redshift, Lambda,S3,Step Functions, Batch, Cloud formation, Lake Formation More ❯

of data pipelines and solutions using Databricks, Python, and SQL Oversee the design and maintenance of data models that support analytics and business intelligence needs Ensure efficient ELT/ETL processes on AWS or Azure cloud platforms Collaborate with analysts, architects, and stakeholders to deliver high-quality data products Promote best practices in testing, CI/CD, version control, and More ❯

Key Responsibilities Lead development of data pipelines and solutions using Databricks, Python, and SQL Design and maintain data models supporting analytics and business intelligence Build and optimise ELT/ETL processes on AWS or Azure Collaborate closely with analysts, architects, and stakeholders to deliver high-quality data products Champion best practices in testing, CI/CD, version control, and infrastructure More ❯

Lambda). Proficient in Python, Apache Spark, and SQL. Experience in data warehouse design and data migration projects. Cloud data platform development and deployment. Expertise across data warehouse and ETL/ELT development in AWS preferred Experience is building a Data Lake as well as building CI/CD data pipelines Excellent communication and problem-solving skills. What's on More ❯

services (BigQuery, Cloud Storage, Dataflow) Proficiency in Power BI for creating reports and dashboards Strong Python skills, including experience with data libraries like Pandas and NumPy Solid background in ETL processes, data pipeline design, and data warehousing Detail-oriented with excellent problem-solving and communication skills Nice to Have: Knowledge of data governance, quality, and security best practices Experience working More ❯

and ensure technical delivery aligns with business needs Translate business requirements into logical and physical data models that support scalable, high-performance analytics and reporting solutions Build and automate ETL/ELT pipelines using tools such as Azure Data Factory, as well as scripting with Python and PowerShell Use Power BI to create dashboards and data visualisations, focusing on usability More ❯

Key skills: Strong experience with AWS data services (S3, Redshift, Glue, Lambda, Lake Formation, CloudFormation). Proficiency in SQL, Python (Pandas), Spark or Iceberg. Experience with data warehouse design, ETL/ELT, and CI/CD pipelines (GitHub, CodeBuild). Knowledge of infrastructure as code, performance tuning, and data migration. Exposure to DBT, Docker, or Microsoft BI stack is a More ❯

Proven experience with Azure Data Services (ADF, Synapse, Data Lake) Strong hands-on experience with Databricks (including PySpark or SQL) Solid SQL skills and understanding of data modelling and ETL/ELT processes Familiarity with Delta Lake and lakehouse architecture A proactive, collaborative approach to problem-solving and innovation Benefits: Competitive salary up to £65,000 Flexible hybrid working More ❯

. Experience designing and building data lakes and modern data platforms. Proficiency with Python, SQL, and data pipeline orchestration tools (e.g., Airflow, dbt). Strong understanding of data modelling, ETL/ELT processes, and distributed systems. Knowledge of data security, governance, and compliance best practices. Excellent leadership, communication, and stakeholder engagement skills. What's on Offer: Greenfield project: the chance More ❯

setting standards for the team. You will be responsible for building a greenfield modern data platform using cutting-edge technologies, architecting big data solutions and developing complex enterprise data ETL and ML pipelines and projections. The successful candidate will have strong Python, PySpark and SQL experience, possess a clear understanding of databricks, as well as a passion for Data Science More ❯

Brilliant team culture + socials What you'll need: Strong SQL skills - you'll be optimising queries and managing complex financial datasets Python experience, particularly for data processing and ETL workflows Hands-on experience with cloud platforms- Azure Experience designing and maintaining data pipelines using tools like Databricks and PySpark Knowledge of data warehousing solutions - Snowflake experience would be brilliant More ❯

complex business problems and designing workable technical solutions. Excellent knowledge of the SDLC, including testing and delivery in an agile environment. Excellent knowledge of SQL (SQL Performance Tuning) and ETL Experience of data warehousing and data lake solutions. Experience working in an Agile environment. This is an excellent opportunity to join a company as it continues to grow and expand More ❯

looking for: Proven experience in data engineering at a senior level Strong hands-on knowledge of Databricks Experience with Azure or AWS cloud platforms Expertise in data warehousing and ETL processes Ability to work both independently and as part of a collaborative team Why join us? £60,000 salary Flexible hybrid working (2 days a week in our Leeds office More ❯

for use by internal and external stakeholders. You will be part of the Business Intelligence & Data team, supporting the BI Manager to take forward development projects whilst maintain and developing Extract, Transform and Load (ETL) pipelines from a range of business systems into the BI environment. You will also be maintaining and developing SQL based reporting and business intelligence within … essential Experience developing and testing reporting solutions Solid knowledge of MS SQL Server 2012-2022 data warehouse development and querying Experience using MS SQL Integration Services to develop complex ETL and automation solutions Expert knowledge of SQL Server Management Studio and Data Tools Knowledge of supporting programming and scripting languages such as C#, XML, PowerShell, Python Excellent communication and stakeholder More ❯

not we’ll help you with them: Actively participate in the organisation and delivery of our Data Engineer Academy. Apply advanced scripting skills to automate data processes and integrate ETL workflows. Engage with business intelligence (BI) tools and techniques to deliver actionable insights. Advocate and apply best practices in software design patterns, principles, and architecture patterns. Stay abreast of the More ❯

tools Experience in troubleshooting and problem resolution Experience in System Integration Knowledge of the following: Hadoop, Flume, Sqoop, Map Reduce, Hive/Impala, Hbase, Kafka, Spark Streaming Experience of ETL tools incorporating Big Data Shell Scripting, Python Beneficial Skills: Understanding of: LAN, WAN, VPN and SD Networks Hardware and Cabling set-up experience Experience of implementing and supporting Big Data More ❯

scalable data solutions Define data architecture patterns and standards that support high-quality, governed data and efficient analytics across the organisation Guide and oversee the development of data pipelines, ETL/ELT processes, and data automation strategies to improve data delivery and reduce manual processes Ensure data architecture aligns with industry best practices, data governance standards, and Homes England's … platforms, ideally including Microsoft Azure, Databricks, and associated tools (e.g., Azure Data Factory, Azure SQL, Synapse) Familiarity with modern data engineering practices including the use of automated data pipelines, ETL/ELT processes, and DevOps for data Strong interpersonal and communication skills, with the ability to influence stakeholders and explain complex concepts to both technical and non-technical audiences Understanding More ❯