Data & AI Engineer

Tenth Revolution Group

Lancashire

Hybrid

GBP 40,000 - 50,000

Full time

2 days ago
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Benefits offered by this job

Annual bonus
Pension matched
Flexible benefits
Hybrid working
Learning & development
Certifications & training
Career progression

Job summary

Tenth Revolution Group is seeking a Databricks Data & AI Engineer to design, develop and optimise modern data platforms in a cloud-first, hybrid UK role with Manchester or London locations.

You will build scalable pipelines, enable analytics and AI initiatives, and collaborate with architects and engineers to deliver data-driven decisions.

Qualifications

  • Experience building data pipelines on cloud platforms.
  • Strong SQL and Python skills.
  • Experience with Databricks, Delta Lake and Spark (PySpark or Scala).
  • Knowledge of modern data warehousing or lakehouse architectures.
  • Hands-on experience developing production-grade data pipelines.
  • Understanding of data modelling and ETL/ELT best practices.

Responsibilities

  • Designing and building scalable batch and streaming data pipelines using Databricks and Spark.
  • Developing robust ETL/ELT solutions and data products to support analytics, reporting and AI initiatives.
  • Working closely with stakeholders to understand business requirements and translate them into technical solutions.
  • Building and maintaining data models within modern lakehouse architectures.
  • Optimising platform performance, scalability, reliability and cost efficiency.
  • Implementing data governance, security and data quality standards.
  • Supporting AI and machine learning initiatives by creating trusted, reusable data foundations.

Skills

SQL
Python
Databricks
Delta Lake
Spark
PySpark/Scala
Data modelling
ETL/ELT
Cloud data platforms

Tools

Delta Lake

Job description

Databricks Data & AI Engineer
Manchester or London (Hybrid Working) Up to £50,000 + Bonus + Benefits

Are you passionate about building modern data platforms and working with the latest Data & AI technologies? Do you want to play a key role in delivering large-scale data transformation projects for some of the UK's most recognised organisations?

An exciting opportunity has arisen for a Databricks Data & AI Engineer to join a leading technology and consulting organisation with a strong reputation for delivering cutting-edge cloud, data, analytics and AI solutions.

You’ll work alongside highly skilled architects, engineers and AI specialists to design and build scalable data platforms that power advanced analytics, machine learning and AI-driven decision making.

The Role

As a Databricks Data & AI Engineer, you will be responsible for designing, developing and optimising modern data solutions within a cloud-first environment.

Key responsibilities include:

  • Designing and building scalable batch and streaming data pipelines using Databricks and Spark.
  • Developing robust ETL/ELT solutions and data products to support analytics, reporting and AI initiatives.
  • Working closely with stakeholders to understand business requirements and translate them into technical solutions.
  • Building and maintaining data models within modern lakehouse architectures.
  • Optimising platform performance, scalability, reliability and cost efficiency.
  • Implementing data governance, security and data quality standards.
  • Supporting AI and machine learning initiatives by creating trusted, reusable data foundations.
Essential
  • Experience developing data engineering solutions on cloud platforms
  • Strong SQL and Python skills.
  • Experience with Databricks, Delta Lake and Spark (PySpark or Scala).
  • Knowledge of modern data warehousing or lakehouse architectures.
  • Hands‑on experience developing production‑grade data pipelines.
  • Understanding of data modelling and ETL/ELT best practices.
What’s On Offer?
  • Salary up to £50,000
  • Annual performance bonus
  • Competitive pension scheme with employer matched contributions
  • Wide-ranging flexible benefits package
Additional Benefits
  • Hybrid working model
  • Enhanced parental leave package
  • Structured learning and development programmes
  • Industry‑recognised certifications and training
  • Access to leading Data, Cloud and AI technologies
  • Clear career progression opportunities
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