Contract Senior Data Engineer - Outside IR35

Data Engineer - 3 Month Contract – Day Rate £600 All Inc – Outside IR35

Over the past ten years, Talos360 has firmly established itself as a market leader in talent software solutions and online recruitment media with our innovations in the HR software space, Talos ATS & Talos Engage solving todays talent challenges. 2024 has been an incredible year for our team as our business was recognised as the number 1 ‘Great Place to Work’ overall mid-sized company in the UK, and the number 1 ‘Great Place to Work’ Mid-tech company in Europe!

Talos360 is a company like no other, and we are extremely proud to be recognised in this way.  We support over 800 companies UK wide and are growing quickly. We are a SaaS technology business, with massive growth plans and investment. 

We are seeking a skilled Data Engineer to join our team on a 3-month contract to design and build a data warehouse solution in Azure Synapse Analytics. The successful candidate will work closely with internal product, technical, and reporting teams to create a dimensional data model (Star and Snowflake schema) that integrates with Azure SQL Database and serves as the foundation for ThoughtSpot BI reporting.  The role will focus on developing efficient ETL/ELT pipelines, ensuring data quality, and optimising performance to support advanced analytics and self-service BI capabilities in ThoughtSpot.  We are based in Warrington, but this is a remote role and any UK base will be considered.

Data Engineer – Responsibilities

• Design and develop Star Schema and Snowflake Schema data models to support analytical reporting.
  
  
• Create and maintain Fact and Dimension Tables in Azure Synapse Analytics.
  
  
• Build ETL/ELT data pipelines using Azure Data Factory (ADF), Azure Synapse Pipelines, and Databricks.
  
  
• Integrate data from Azure SQL Database into Azure Synapse, ensuring data accuracy, consistency, and performance.
  
  
• Collaborate with BI and reporting teams to ensure the data model supports ThoughtSpot BI use cases.
  
  
• Implement partitioning, indexing, and data optimisation strategies for large datasets.
  
  
• Apply dimensional modelling best practices to enable effective slicing, dicing, and drill-down reporting in ThoughtSpot.
  
  
• Ensure data governance, security, and compliance (including RBAC, data masking, and encryption) across the solution.
  
  
• Implement monitoring and logging using tools such as Azure Monitor and Log Analytics to track pipeline health and performance.
  
  
• Work with internal stakeholders to refine data requirements and ensure data models meet business needs.
  
  Data Engineer – Required Skills
  
  
• Proven experience in Azure Synapse Analytics including data warehousing and pipeline development.
  
  
• Strong experience with Azure SQL Database, Azure Data Lake, and Azure Data Factory (ADF).
  
  
• Expertise in dimensional modelling (Star & Snowflake Schemas), including creation of Fact and Dimension tables.
  
  
• Hands-on experience building data pipelines (both batch processing and streaming data) in Azure.
  
  
• Proficiency in SQL (T-SQL) and Python for data transformation and pipeline development.
  
  
• Experience working with ThoughtSpot (preferred) or similar BI tools with direct integration into Synapse Analytics.
  
  
• Knowledge of OLTP vs OLAP data structures and optimisation strategies.
  
  
• Familiarity with CI/CD processes for data pipelines and version control using Git.
  
  
• Understanding of data governance, security best practices, and performance tuning in an Azure environment.
  
  
• Strong analytical mindset with excellent communication and documentation skills.
  
  
• Any previous work in HR Tech or Recruitment platforms is a plus, although not essential.
  
  If you are an experienced Data Engineer Contractor, who can add immediate value with your skillset, then this could be a great next project for you.
  
  Apply now to be considered for our Data Engineer role.  You could be working for Talos360 in an exciting growth phase, within the month