Data Engineer (Azure Data Factory)

Questions come to you at a telecoms provider in Brackenfell, and you answer them with data. It's the kind of job where doing the basics well every day gets you noticed.

The site is in Brackenfell; early starts mean public transport timing matters, so check your route before applying. Start date: as soon as possible for the right person.

• Present findings to managers in plain language with clear charts
• Build and maintain Power BI dashboards and data models
• Check data quality and trace odd numbers back to the source
• Build simple forecasting and segmentation models in Python or R
• Build ETL pipelines in SSIS, Azure Data Factory or Python
• Keep a data dictionary so everyone uses the same definitions
• Write SQL to pull, join and clean data from several sources

• Careful with sensitive customer data
• Hands-on Power BI, Tableau or a similar tool
• Strong SQL, including joins, window functions and CTEs
• At least 2 years in a data or reporting role (not needed for graduate posts)
• Degree in statistics, maths, computer science, economics or a related field

• Microsoft PL-300 Power BI Data Analyst certification
• Experience with Databricks, Snowflake or Fabric
• Python with pandas for data wrangling

• Latest laptop with extra screen
• Paid cloud and BI certifications
• Hybrid work with two office days
• Annual bonus tied to company performance

• Show a before-and-after, like "replaced a 6-hour manual report with an automatic daily dashboard".
• Put SQL and your BI tool in the first line of your CV; these are the keywords every data recruiter searches.