Onsite Data Engineer for Audit & Risk Analytics, Birmingham
Apexon
United Kingdom
On-site
GBP 60,000 - 80,000
Full time
14 days+
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Benefits offered by this job
25 days holiday + statutory bank holidays
Access to wellness platform
Life Insurance & Income protection
Enhanced Maternity and Paternity Pay
Cycle to work scheme
Tech Scheme with discounts
Unlimited Udemy account
Job summary
A digital-first technology services firm based in Birmingham seeks a Python Data Engineer to design and maintain data solutions critical for audit and compliance processes. Ideal candidates will have strong experience in data engineering, specializing in Python and SQL, and enjoy collaborating with cross-functional teams. This full-time position offers opportunities for impactful projects and continuous professional growth in a dynamic environment.
Qualifications
7+ years of hands‑on experience in data engineering, data modeling, data architecture, or analytics.
Expertise in SQL, entity‑relationship modeling, and dimensional data modeling.
Familiarity with big data platforms.
Strong analytical thinking and problem‑solving skills.
Ability to thrive in a fast‑paced environment.
Responsibilities
Design and maintain logical and physical data models for audit and risk assessment.
Build and optimize ETL/ELT pipelines for structured and unstructured data.
Develop reporting and analytics using Python, SQL, and Tableau.
Ensure compliance with data governance standards.
Optimize dashboard and data pipeline performance.
Skills
Data modeling expertise
Python
SQL
Analytical thinking
Problem-solving skills
Communication
Collaboration
Education
Bachelor’s or Master’s degree in Data Science, Computer Science, Information Systems
Tools
Tableau
ETL tools
Erwin
Visio
Lucidchart
Hadoop
Snowflake
AWS
Azure
Google Cloud Platform
Oracle
Sybase
PostgreSQL
SQL Server
MongoDB
Job description
A digital-first technology services firm based in Birmingham seeks a Python Data Engineer to design and maintain data solutions critical for audit and compliance processes. Ideal candidates will have strong experience in data engineering, specializing in Python and SQL, and enjoy collaborating with cross-functional teams. This full-time position offers opportunities for impactful projects and continuous professional growth in a dynamic environment.