Back to search
Senior Data Engineer - Finance Industry
About the Company
Join a leading financial services company dedicated to innovation and data-driven decision-making. As we transition from on-premises SQL Server to a modern cloud-based Azure environment, we are investing in cutting-edge technology to enhance our data capabilities. Our team fosters a collaborative culture, supporting continuous learning and the adoption of emerging technologies.
Location: Skipton
Working Structure: Hybrid working
Job Type: Permanent, Full-Time
Industry: Finance
Role Overview
We are seeking an experienced Data Engineer to play a pivotal role in our Enterprise Data Warehouse development and cloud migration strategy. This role focuses on data warehouse modelling, ETL development, and Python programming, ensuring high-quality data solutions for business needs. The ideal candidate will combine traditional data engineering expertise with modern cloud-based technologies such as Azure Data Factory, Databricks, and Power BI.
Key Responsibilities
Data Warehouse Design & Modelling
Design and implement scalable, high-performance data warehouse models (star/snowflake schema).
Optimize data storage and structures using Azure Data Lake and Databricks Delta Tables.
Work closely with stakeholders to gather and analyze data requirements for reporting and analytics.
ETL Development & Data Pipelines
Build and maintain ETL processes using Azure Data Factory, Python, and Databricks.
Ensure data quality, accuracy, and consistency through rigorous testing and validation.
Develop automated data pipelines to streamline data ingestion and transformation.
Monitor, troubleshoot, and enhance data workflows for optimal performance and minimal downtime.
Collaboration & Documentation
Partner with data analysts, data scientists, and business teams to support reporting and analytics needs.
Document data models, ETL workflows, and best practices to enhance knowledge sharing.
Work within Agile development frameworks, participating in sprint planning and retrospectives.
Essential Experience & Skills
3+ years of experience in data engineering and ETL development.
Strong proficiency in T-SQL and Python.
Solid understanding of data governance and quality assurance best practices.
Experience designing and deploying business-critical data pipelines.
Strong analytical skills, with a problem-solving mindset and attention to detail.
Ability to collaborate effectively with technical and non-technical stakeholders.
Desirable Experience
Hands-on experience with Azure services (Azure Data Lake, Azure Data Factory).
Development experience using Databricks Notebooks & Databricks Workflows.
Familiarity with Git repositories and source control best practices.
Experience managing Azure Databricks environments.
Key Behaviours & Attributes
Passion for Data - Enthusiastic about working with data and keeping up with new technologies.
Problem Solver - A proactive approach to overcoming data challenges.
Growth Mindset - Eager to learn, adapt, and implement industry best practices.
Effective Communicator - Able to explain complex technical solutions to diverse audiences.
What We Offer
Competitive salary & benefits package.
Work on cutting-edge data engineering projects in a finance-driven environment.
Career development opportunities with access to training and mentorship.
Be part of a forward-thinking, innovative organisation.
Apply now to help shape the future of data in financial services!
Established in Didsbury, Connexa Technology Ltd is becoming one of the UK's fastest growing IT and Technology recruitment companies.
People. Technology. Connected.
Connexa Technology is acting as an Employment Agency in relation to this vacancy.
