Data Engineer at CAREERJET
London, New South Wales, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

17 Nov, 26

Salary

0.0

Posted On

19 Aug, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Industry

Information Technology & Services;Software Development & Publishing

Description

Position: Data Engineer (SQL, dbt)Salary: £35,000 - £45,000 per annumLocation: Kingswinford, West Midlands (DY6)Fully office based – Full time - PermanentStiltz Homelifts is looking for a Data Engineer to join our growing data and analytics team. You’ll help maintain and improve the data infrastructure that powers genuine business decisions and drives next generation commercial workflows. Working as part of a small, cross-functional tech team, maintaining data pipelines and dbt (Data Build Models), writing SQL to answer real business questions.This is a hands-on SQL and dbt role with visible impact across the whole business from sales to operations, supporting business decisions with data it can trust.What you'll be doingMaintain and improve data pipelines feeding our data warehouseBuild and improve dbt models including staging layers, business logic transforms, and reporting-ready martsAnswer business questions with clear SQL, presenting findings clearly to non-technical colleagues who can act on themCreate and maintain dashboards and reports that are used and trusted by the wider organisationImplement and monitor critical data quality tests, working closely with our NetSuite and infrastructure teamsEnsuring technical documentation and business definitions current and accessibleWrite clean, well-tested code with safe deployment in mindUse Git version control consistently and logically, as part of a collaborative workflowWhat we offer:Competitive salary range £35,000 - £45,000 (depending on experience)25 days holiday + 8 statutory bank holidays + 1 extra day off for your birthday!Life assurance + critical illness coverPension schemeCompany bonus schemeEnhanced cash back health scheme + wellbeing supportEmployee referral schemeEmployee discountsCycle to work schemeFully supported induction and ongoing trainingWhat you'll bringExpert-level SQL (joins, aggregations, window functions, CTEs)Experience with dbt (or similar tools) in a production or near-production environmentStrong experience with Git and version controlDemonstrable experience with SQL, pipelines, or data transformationsAble to interpret data, not just query it, spotting anomalies and explaining insights clearlyProven experience of testing and validating codeAbility to clearly communicate technical information with non-technical colleaguesSelf-motivated and commercially awareA proactive, logical approach to problem solving and a genuine appetite to learnDegree or equivalent experience in computer science, mathematics, engineering, or related fieldActive interest in AI and emerging techBonus points if you have:BI tool experience (Power BI, Looker, or Tableau) in a commercial settingBasic Python for scripting or extending data modelsExposure to NetSuite ERP Administration and data structuresHands-on experience with a cloud data warehouse (BigQuery, Snowflake, or Redshift)Why join Stiltz HomeliftsStiltz Homelifts designs and builds home lifts, we're an ambitious, internationally-growing company, and this is a chance to make a real impact as we scale. Data is central to how we run the business.If you’re a Data Engineer, who craves ownership of real projects, and want to see your work genuinely used to shape decisions, then apply now!No agencies please. We work with a carefully selected set of recruitment agencies and we're not looking to add to our PSL. We do not accept unsolicited agency CVs sent to the recruitment team or directly to the hiring manager and will not be responsible for any fees related to unsolicited CVs.Stiltz Limited is the sole supplier, manufacturer and installer of the Stiltz lift - the most innovative, unique and useful homelift on the market.

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities
Loading...