About Data jobs
Data is the largest hiring category on Geekery.io by some margin, with 105 live listings spanning four distinct disciplines. Data engineering is the largest sub-cluster — Python and SQL engineers building pipelines, warehouses, and lakehouses on Snowflake, Databricks, BigQuery, and Redshift. Data science is the second largest — Python and R modellers doing supervised and unsupervised ML, experimentation, and statistical analysis. Analytics engineering has grown rapidly — dbt specialists who sit between data engineering and analytics, modelling data for BI consumption. Data analysis / BI remains the largest entry-level pipeline into the field.
UK data salaries vary more by sub-discipline than other categories. Data analysts earn £30,000–£70,000 at mid-level. Data engineers are typically £26,000–£150,000, with senior reaching £95,000+. Data scientists cluster £26,000–£150,000 at mid-level, with senior data scientists at FTSE-grade employers clearing £100,000+. Analytics engineers are typically paid similarly to data engineers. The overall UK median for “data” roles sits around £54,537.
The biggest UK employers of data roles are banks, insurers, retailers, telecom companies, the public sector, and consultancies — plus a long tail of scale-ups. London is the largest single hub, but Manchester, Edinburgh, Bristol, Leeds, and Birmingham all have substantial data hiring markets. Roughly 45% of data roles are fully remote within the UK, with hybrid being the norm in regulated industries.
The most common tech stacks you’ll see in 2026: Snowflake + dbt + Python for the modern data stack, Databricks + PySpark for larger enterprises, AWS / GCP / Azure as the underlying cloud, and a long tail of legacy Hadoop, Teradata, and Oracle environments that are gradually being migrated.
If you’re moving into data from an adjacent field, SQL + Python + one cloud warehouse is the most reliable entry path. If you’re already a senior data engineer or scientist, the listings below are filtered by recency and include salary bands where employers have shared them.
