Data Engineer

Stiltz Homelifts; Wokingham; On-site; GBP 35,000 - 45,000; Full time

Benefits offered by this job

25 days holiday

Life assurance

Pension scheme

Company bonus scheme

Health scheme

Job summary

Stiltz Homelifts is seeking a Data Engineer to join our growing data and analytics team in Wokingham. You’ll maintain data pipelines, build dbt models, and write SQL to answer real business questions in a hands-on, production-like setting.

This full-time, office-based role offers a competitive salary and comprehensive benefits. You’ll collaborate with sales, operations, and IT to deliver trusted data and actionable insights that drive business decisions.

Qualifications

• Expert-level SQL skills (joins, aggregations, window functions, CTEs).
• Production-level dbt experience or equivalent tooling.
• Strong Git and version-control experience.
• Experience with data pipelines and transformations.
• Ability to interpret data and explain insights clearly.
• Testing and validating code experience.

Responsibilities

• Maintain and improve data pipelines feeding our data warehouse.
• Build/dbt models: staging, transforms, and reporting marts.
• Answer business questions with SQL and present findings to non-technical colleagues.
• Create dashboards and reports used across the organization.
• Implement data quality tests in collaboration with infra teams.
• Keep technical docs and business definitions up to date.
• Write clean, well-tested code with safe deployment practices.
• Use Git in a collaborative workflow.

Skills

SQL

dbt

Git

Data pipelines

Data quality testing

SQL tuning

Analytical thinking

Communication

AI interest

Education

Degree in computer science, mathematics, engineering, or related field

Tools

dbt

NetSuite

Power BI/Looker/Tableau

Git

Job description

Position: Data Engineer (SQL, dbt)

Salary: £35,000 - £45,000 per annum

Location: Wokingham

Fully office based – Full time - Permanent

Stiltz 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 doing

• Maintain and improve data pipelines feeding our data warehouse
• Build and improve dbt models including staging layers, business logic transforms, and reporting-ready marts
• Answer business questions with clear SQL, presenting findings clearly to non-technical colleagues who can act on them
• Create and maintain dashboards and reports that are used and trusted by the wider organisation
• Implement and monitor critical data quality tests, working closely with our NetSuite and infrastructure teams
• Ensuring technical documentation and business definitions current and accessible
• Write clean, well-tested code with safe deployment in mind
• Use Git version control consistently and logically, as part of a collaborative workflow

What 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 cover
• Pension scheme
• Company bonus scheme
• Enhanced cash back health scheme + wellbeing support
• Employee referral scheme
• Employee discounts
• Cycle to work scheme
• Fully supported induction and ongoing training

What you'll bring

• Expert-level SQL (joins, aggregations, window functions, CTEs)
• Experience with dbt (or similar tools) in a production or near-production environment
• Strong experience with Git and version control
• Demonstrable experience with SQL, pipelines, or data transformations
• Able to interpret data, not just query it, spotting anomalies and explaining insights clearly
• Proven experience of testing and validating code
• Ability to clearly communicate technical information with non-technical colleagues
• Self-motivated and commercially aware
• A proactive, logical approach to problem solving and a genuine appetite to learn
• Degree or equivalent experience in computer science, mathematics, engineering, or related field
• Active interest in AI and emerging tech

Bonus points if you have:

• BI tool experience (Power BI, Looker, or Tableau) in a commercial setting
• Basic Python for scripting or extending data models
• Exposure to NetSuite ERP Administration and data structures
• Hands-on experience with a cloud data warehouse (BigQuery, Snowflake, or Redshift)

Why join Stiltz Homelifts

Stiltz 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.