SC Cleared Data Engineer
Role details
Job location
Tech stack
Requirements
candidates with strong knowledge in data engineering fundamentals, with ability to operate at all stages of the delivery lifecycle, with an interest in learning and cross-skilling.
Essential skills and experience:
-
Strong SQL and hands-on experience with data modelling.
-
Hands-on with ETL/ELT tooling (at least one of Talend, Pentaho DI, Informatica, AWS Glue, or SAS).
-
Experience with databases/data platforms (ideally Oracle or Cloudera).
-
Knowledge of cloud platforms (ideally AWS).
-
Good experience with programming/scripting languages (e.g. Python, Bash).
-
Strong grasp of data engineering fundamentals, including integration, transformation, orchestration, and version control.
-
Excellent client-facing and consultancy skills.
-
Experience working in Agile delivery environments.
-
Drive to share knowledge, mentoring and developing others.
Desirable to have skills or experience in:
-
SAS Viya for data analytics.
-
Job Scheduling tooling (e.g. Berlin/JS7 Job Scheduler, TWS, Apache Airflow).
-
Denodo for data virtualisation.
-
Reporting and visualisation tooling (from Pentaho BA, Power BI, SAP Business Objects).
-
ALM Tooling (Jira, Confluence).
-
CI/CD (GitLab).
Benefits & conditions
Salary: Up to £70k (DOE) P/A