Data & AI Engineer

Tenth Revolution Group

Manchester

Hybrid

GBP 45,000 - 55,000

Full time

3 days ago
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Benefits offered by this job

Annual bonus
Pension scheme
Flexible benefits
Hybrid working model
Learning & development

Job summary

Databricks Data & AI Engineer role at Tenth Revolution Group in Manchester/London hybrid. You will design, develop and optimise data platforms using Databricks, Spark and Delta Lake to power analytics and AI initiatives.

Collaborate with architects and data scientists to deliver scalable batch and streaming pipelines, enforce governance, security and cost efficiency while enabling AI-driven decision making.

Qualifications

  • 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.

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.

Tools

Databricks
Delta Lake
Spark (PySpark/Scala)
Cloud platforms
SQL
Python
Data modelling
ETL/ELT best practices
Batch & streaming pipelines

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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