Senior Data Test Engineer at HippoDigital
Manchester M2 1DH, , United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

10 Dec, 25

Salary

70000.0

Posted On

10 Sep, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

It, Red Flags, Etl, User Requirements, Communication Skills, Snowflake, Athena, Dbt, Python, Uniqueness

Industry

Information Technology/IT

Description

SKILLS AND EXPERIENCE THAT YOU NEED

Must-Have Skills

  • SQL expertise – able to read, write, and debug complex queries; comfortable working in Snowflake, Athena, or equivalent.
  • Business logic understanding – capable of interpreting user requirements and validating whether logic has been correctly applied in ETL.
  • Experience testing ETL processes and understanding data transformation flows from source to report.
  • Ability to think like a data consumer – what will users want from this data and how should it behave
  • Strong communication skills – able to clearly explain quality concerns, raise red flags, and contribute to a shared understanding of “done.”

Nice-to-Have Skills

  • Familiarity with DBT or similar tools (understanding where they fit in the ETL process).
  • Awareness of data quality frameworks and concepts like null checks, uniqueness, and referential integrity.
  • Exposure to Python (basic familiarity helpful on some platforms like Databricks).
  • Understanding of event-driven data flows or having worked on data-centric projects.

HI, WE’RE HIPPO.

At Hippo, we design with empathy and build for impact. We do this by combining data-informed evidence, human-centred design and software engineering. We’re a digital services partner who is genuinely invested in helping our clients thrive as modern organisations. Our delivery methodology is truly agile, from concept to reality, supporting innovation and continuous improvement to achieve your desired outcomes.
We firmly believe that technology should serve humanity, not the other way around. We take a human-centred approach to everything we do because we understand that complex problems require a service design approach. This means understanding how users behave and ensuring our solutions work for them in the real world.
Our combination of data, design, and engineering delivers bespoke digital services that make a positive and meaningful impact on organisations and society. We’re confident in our abilities, authentic in our approach, and passionate about what we do. If you’re looking for a digital services partner that can deliver real results, let us help you build for the future and make a lasting impact.

Responsibilities

Hippo is recruiting Senior Data Test Engineers to join our Hippo Herd. Senior Data Test Engineers work in multi-disciplinary teams that build, support & maintain User-Centred digital solutions that offer real value and work for everyone.
Hippo’s Senior Data Test Engineers design and implement quality check procedures for our products and services. You will be responsible for analysing features, designing test parameters, creating customised quality checks and writing up final procedures. You’ll also use your experience and expertise to enable our clients to continue to iterate and improve their products and services. You will support in driving the team’s technical deliverables, maintain client relationships and be passionate about developing and upskilling others.
Please note, we are looking for candidates who are looking for growth at this level (Senior), therefore the advertised salary band is the lower end of our full banding for this level of position, allowing for progression in the role.

Your Role in a Nutshell:

  • Collaborate early in the development lifecycle to define clear, testable requirements, especially around data transformations and end-user expectations.
  • Write comprehensive test plans, including reconciliation, edge case, and business logic validations.
  • Independently create and execute SQL queries to validate data pipelines, transformations, and outputs.
  • Participate in Three Amigos, ticket refinements, and sprint planning to ensure QA considerations are represented from the start.
  • Identify data issues and investigate the root causes by understanding the flow and transformation of data across systems.
  • Proactively challenge assumptions and work closely with engineers, analysts, and product managers to clarify scope and intent.
  • Document test cases and results clearly, ensuring bugs are actionable and reproducible.
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