AI Jobs Map

Cognify Search · London Area, United Kingdom

Principal Data Engineer

Hybridseniorfull timePosted 10 days ago
Apply on LinkedInLinkedInOpens the original posting. AI Jobs Map never asks for your details.

Stack mentioned

data-engineeringetlpythonawsdbtdata-governanceobservabilitysqlredshiftsnowflakedatabricksbigqueryapache-airflowdagsterterraformcloudformationiso-27001gdpr

Senior / Lead Data Engineer

Build a Modern Cloud Data Platform

HealthTech

London / Hybrid

I’m working with an ambitious and rapidly growing HealthTech business that is tackling one of the most important challenges in modern healthcare.

Their technology is already supporting hundreds of healthcare providers and helping improve outcomes for millions of patients. As the business continues to scale, data is becoming increasingly central to everything they do.

They are now looking to hire their first dedicated Senior Data Engineer.

This is a fantastic opportunity for someone who wants to go beyond simply building pipelines.

You’ll play a key role in designing and building a modern cloud data platform from the ground up, acting as the technical lead for Data Engineering and taking ownership of the architecture, strategy and long-term direction of the platform.

The Role

You’ll be joining at a pivotal point in the company’s growth.

The existing data estate has evolved alongside the business, with data coming from a mixture of operational systems, APIs, third-party platforms and file-based sources.

Your role will be to help transform this into a clean, scalable, centralised and well-governed modern data platform that can support analytics, product development and the wider business as it grows.

This is a highly hands-on position, but it also requires a high level of design, architecture and strategic thinking.

You’ll be responsible for:

• Designing and building a modern cloud-based data platform

• Acting as the technical lead and owner for Data Engineering

• Defining the architecture and long-term data strategy

• Building scalable data pipelines and ingestion frameworks using Python

• Designing and evolving the organisation's warehouse / lakehouse architecture

• Working across a modern cloud environment, primarily AWS

• Building robust transformation workflows using dbt

• Improving orchestration, testing, deployment and developer experience

• Introducing strong data quality, monitoring and observability practices

• Implementing infrastructure-as-code and treating data infrastructure like software

• Establishing appropriate governance, security and access controls

• Working closely with Engineering, Product and Analytics teams

• Providing technical leadership, mentorship and guidance around engineering best practice

🔎 What They're Looking For

This would suit someone who has strong hands-on Data Engineering experience but is also comfortable stepping back and asking:

"What should this platform look like in 3–5 years, and how do we get there?"

You should have experience with:

• Strong Python and SQL

• Designing and building production-grade data pipelines

• AWS or another major cloud platform

• Modern data warehouses or lakehouse technologies such as Redshift, Snowflake, Databricks or BigQuery

• dbt and modern transformation practices

• Orchestration tools such as Airflow, Dagster or equivalent

• Infrastructure as Code, ideally Terraform, CloudFormation or CDK

• Data architecture and platform design

• Data quality, monitoring and observability

• Data governance, security and access controls

The ideal person will have experienced a business or platform going through significant growth and will understand the challenges that arise when early-stage data infrastructure starts to reach its limits.

You’ll be comfortable making architectural decisions, influencing stakeholders and balancing immediate business requirements with the longer-term data strategy.

Particularly Interesting Backgrounds

Experience within any of the following would be highly beneficial:

• High-growth technology companies or startups

• Building or significantly redesigning a cloud data platform

• Being an early or first Data Engineer within a business

• Platform Engineering or Data Platform environments

• Highly regulated industries such as healthcare, financial services or similar

• ISO 27001, GDPR or broader data security and governance environments

This is a rare opportunity to take genuine ownership of a company's Data Engineering function and play a central role in shaping how its technology and data capabilities evolve.

If you're a Senior or Lead Data Engineer who enjoys being hands-on but also wants the opportunity to influence architecture, platform design and data strategy, please get in touch

More jobs at Cognify Search

  • Cognify Search · United Kingdom

    4 days ago

    Senior Data Scientist

    senior$115,451pythonsqldata-sciencemachine-learningLinkedIn
  • Cognify Search · United Kingdom

    4 days ago

    Senior Data Scientist

    senior$115,451pythonsqldata-sciencemachine-learningLinkedIn
  • Cognify Search · London Area, United Kingdom

    16 days ago

    Senior Machine Learning Engineer

    Hybridseniorllmobservabilityragagentic-ai+4LinkedIn
  • Cognify Search · United Kingdom

    20 days ago

    Senior Data Analyst

    Remoteseniordata-analysisdbtsqlLinkedIn
  • Cognify Search · London Area, United Kingdom

    24 days ago

    Principal Data Scientist

    mid_levelllmdata-sciencemachine-learninggenerative-ai+1LinkedIn