Contract Data Engineer

Contract Data Engineer

Posted Today by FOOTASYLUM

Negotiable
Undetermined
Hybrid
Rochdale, England, United Kingdom

Summary: The role of Contract Data Engineer involves supporting finance stakeholders by enhancing the accuracy of financial reporting through the delivery of data products. The engineer will design and implement cloud solutions for data analysis, develop the existing data warehouse, and collaborate with BI and Analytics teams to meet business needs. The position emphasizes the importance of teamwork and knowledge sharing within the data team. Candidates should have experience with finance systems, cloud technologies, and data engineering concepts.

Key Responsibilities:

  • Deliver data products to support finance reporting accuracy.
  • Design and implement cloud solutions for data analysis.
  • Develop and improve the current data warehouse solution.
  • Assist BI and Analytics teams in interpreting requirements.
  • Implement new methods or technologies for data ingestion and self-service.

Key Skills:

  • Experience with finance/financial systems and concepts.
  • Proficiency in Azure Databricks and Azure Data Factory.
  • Excellent SQL skills.
  • Good Python/Spark/pyspark skills.
  • Experience with Kimball Methodology and star schemas.
  • Experience with enterprise data warehouse solutions.
  • Experience with structured and unstructured data.
  • Understanding of cloud technologies and DevOps practices.
  • Experience in a retail environment preferred.

Salary (Rate): undetermined

City: Rochdale

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Description We are looking for a contract Data Engineer, to join us as we look to support our stakeholders with Finance, specifically improving the accuracy of our existing finance reporting. You will deliver data products in line with business requirements which enable data driven decision making. Understand business needs, design and deliver cloud solutions which enable data analysis across the business. You'll help is to be ready to move our platform to the next stage and explore Data Engineering concepts, demonstrating what a well designed data platform can provide for our customers. Design, deliver and improve data products in a timely fashion. Develop the current data warehouse solution, designing and developing facts and dimensions for use in analysis and financial decision making. Assist the BI and Analytics teams in interpreting requirements and deliver engineering solutions which meet the business needs. Find and implement new methods or technology to reduce the time required to ingest and self-serve data.

The Team The data team is an enabling team and as such it is important to note that we are a key function for all other teams across the business. We consist of two teams – Business Intelligence Developers and Data Engineering – who work closely alongside each other from end to end. We design solutions together and share best practice. Within the teams we recognise individual skillsets and encourage knowledge sharing sessions and self-development.

About You Experience with finance/financial systems and concepts Azure Databricks Azure Data Factory Excellent SQL skills Good Python/Spark/pyspark skills Experience of Kimball Methodology and star schemas (dimensional model). Experience of working with enterprise data warehouse solutions. Experience of working with structured and unstructured data Experience of a retail environment preferred A good understanding of cloud technologies and DevOps practice - Scaling and cost, CI/CD, cost saving best practice. Open to collaborative working

Diversity We recognise and value the importance of diversity to help make sure we have lots of different perspectives when we are building products and services. We know that this will help us build useful and accessible things which our customers will love. This is great news for our business. Diversity for us is also, importantly, about building happy teams full of people that want to learn and want to be inspired by each other and our different experiences and backgrounds.

Recruitment Process We’ll help make the interview process as transparent and stress-free as possible. We review applications individually, and if we feel you would be a good fit, we’ll invite you for a call or Teams video for an informal chat about the role and to see if we’re a good fit for you. We value open and honest conversations and collaboration, allowing you to learn about our work in an informal and friendly environment. We want to know about you and why you feel this is your opportunity. Please note this is not a remote role, and we expect that you will be able to attend Head Office in a hybrid way in Greater Manchester.