Data engineer
Pubblicato il 01-08-2026 - Neurons Lab in Italia
About The Project (description, Duration, Stage) Join Neurons Lab as a Data Engineer on a new engagement with a regulated UK & Ireland credit and lending company . The client has lifted data from multiple business entities into a newly centralized, anonymized data lake , but lacks the data‐engineering depth to make it trustworthy and analytics‐ready: current pipelines were assembled quickly (partly AI‐assisted), and the descriptive statistics cannot yet be validated or reproduced . You put that foundation on solid ground so the Data Science Lead can model on it with confidence — validate and re‐engineer the pipelines, build the harmonization / semantic layer across entities, enforce data quality and lineage, and prepare clean, feature‐ready datasets. This is a foundational data‐engineering role on a regulated data estate ; data protection and reproducibility are the primary constraints on every decision. Full‐time engagement preferable. What You'll Actually Do (example Tasks)
Reproduce a descriptive‐statistics report end‐to‐end so any figure traces back to raw source — closing the gap the client admitted (numbers they can't currently defend). Profile and reconcile differing source schemas across acquired entities: map differing field names, types, encodings and business definitions for the same concept into one conformed model. Build dbt staging → intermediate → mart models with tests; codify the harmonized definitions the Data Science Lead specifies. Write Great Expectations suites (null / range / uniqueness / referential checks) and wire them into the pipeline so bad data fails loudly rather than silently corrupting analysis. Implement entity / identity resolution (deterministic + fuzzy matching) where there is no clean shared key for the same customer or account across sources. Implement and verify anonymization / pseudonymization (hashing / tokenization / k‐anonymity) and evidence that re‐identification risk is controlled for the client's IT / compliance team. O