Data Engineer
AllRecruits Ltd · Hamilton
—
Jul 16, 2026
Hamilton
Jul 21, 2026
What this job asks for AI summary
A data engineering role centred on building and maintaining data pipelines, ETL/ELT frameworks, and data platforms across technologies such as Databricks, Snowflake, Azure Synapse Analytics, SQL Server, and PostgreSQL. The work spans data quality, governance, and architecture design to support analytics, reporting, and machine learning workloads. Suited to an independent, experienced engineer comfortable operating across cloud and hybrid environments with at least four years of relevant platform experience.
Mid level · 4+ years · National · Bachelor's required
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $142,568 (middle half $111,775–$173,013).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (5)
No work location or geography is specified anywhere in the posting — CBSA, state, and remote status cannot be determined. The role may be based outside the US (e.g. Australia/UK, given the consultancy framing and currency-neutral language); the US-based flag defaulted to true per instructions but should be verified.
The posting lists Databricks, Snowflake, Azure Synapse Analytics, SQL Server, and PostgreSQL under both the 'Platform Development' responsibilities section and the 'Required Skills & Experience' section using the qualifier 'Experience with technologies like' — the 'like' qualifier signals these are illustrative examples of the stack rather than strict gates on each individual tool. However, because they appear in the required section, they are treated as hard requirements collectively; each is marked required.
CI/CD, DevOps, automation, and infrastructure-as-code are explicitly called 'desirable' in the required section, making them preferred rather than hard gates.
The role sits at the boundary between 15-1243 (Database Architects — pipeline/warehouse/lakehouse design) and 15-1252 (Software Developers — building scalable data platforms and ETL/ELT frameworks). 15-1243 was chosen as primary given the strong emphasis on data architecture, modelling, warehousing, and lakehouse patterns; 15-1252 is noted as a close runner-up.
No compensation range is provided.
Read the full posting
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