We're Hiring: Technology Architect – Data Engineering (Hybrid – London)
|
Contract:
6 months |
Work Mode:
Hybrid (12 days WFO/month)
We are looking for an experienced
Technology Architect
with deep expertise in
PySpark, ADF, and Databricks
to lead and design data engineering solutions for our client.
What You'll Do
Lead technical design using
Medallion architecture
and Azure Services
Create conceptual diagrams, source-to-target mapping, and dimensional data models
Guide the
data engineering team
on development with ADF, Databricks, Python, JSON, and YAML
Implement performance optimization strategies during data transformation
Deploy code artifacts using
GitHub Workflows/CI-CD pipelines
Collaborate effectively with team members and stakeholders
Optional: Work with
Log Analytics
and
KQL queries
Must-Have Skills
10+ years of experience in
Data Engineering
Hands-on experience with
PySpark, ADF, Databricks, SQL
Strong understanding of
dimensional modeling, normalization, schema design, and data harmonization
Experience with
Erwin
and data modeling tools
Excellent
communication, problem-solving, and client-facing skills
Why Join Us
Work in a
dynamic, collaborative environment
Hands-on experience with
cutting-edge Azure data engineering technologies
Hybrid setup providing flexibility while staying connected to the team