Data Engineer
Data Engineer on a new MOD defence programme with a specialist national-security consultancy: designing ETL pipelines, data models, and quality controls in secure on-prem and cloud environments (Snowflake, Databricks, SQL, Python, Airflow/Spark, AWS/Azure). Requires current SC or DV clearance and 2-3 days on site in Blandford.
- Compensation
- £50K–£75K / yr
- Location
- Blandford Forum, United Kingdom
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Full time
- Experience
- 5+ years
- Category
- Data engineering
- Posted
Skills
Must have
- Proven Data Engineering experience in a defence environment
- Snowflake and Databricks experience
- Strong SQL and Python skills
- Experience with pipeline tools like Airflow or Spark
- Experience with AWS and/or Azure
- Solid grasp of data modelling, integration and governance
- Current SC or DV clearance
- British citizen, UK resident for the last 5 years
- Able to be on site in Blandford 2-3 days per week
Full description
Data Engineer | Defence | SC or DV | Blandford (2-3 days on site)Salary: £50k to £75k + bonus + benefits
Clearance: SC or DV (must be a British citizen, UK resident for the last 5 years)
Type: Permanent
A specialist defence and national security consultancy has just won a new project and needs a Data Engineer to help build it from the ground up.
You’ll be on site with the MOD customer, designing and delivering the data platform that operational decisions run on. It’s a new team on a new programme, so there’s plenty of room to shape how things are done.
What you’ll be doing
- Designing and building ETL frameworks to ingest, transform, validate and cleanse data
- Managing data structures and building robust data models for analytics and reporting
- Putting data quality controls in place and preparing datasets for visualisation
- Working on-prem and in the cloud within secure environments
- Gathering and validating data requirements directly with the customer
- Tuning data workflows for speed, cost and reliability
- Helping set data engineering best practice and presenting findings to stakeholders
What you’ll need
- Proven Data Engineering experience in a defence environment
- Snowflake and Databricks (essential)
- Strong SQL and Python
- Pipeline tools like Airflow or Spark
- AWS and/or Azure
- Solid grasp of data modelling, integration and governance
- Current SC or DV clearance
What’s in it for you
- Annual bonus
- Matched pension and healthcare
- Flexi-time (37.5 hour week, structured how you like)
- Training budget for courses and conferences
- Small business culture with the backing of a large organisation