Data & AI Engineer
Tenth Revolution Group
Manchester, UK
11 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
£40,000.0 - £50,000.0
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Big Data
Data Governance
Extract Transform Load (ETL)
Data Systems
Data Warehousing
Python (Programming Language)
Standard Sql
Data Streaming
Apache Spark
Data Lakes
Pyspark
+2 more
Data Pipelines
Databricks
Job description
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?, As a Databricks Data & AI Engineer, you will be responsible for designing, developing and optimising modern data solutions within a cloud-first environment., * 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.
Requirements
- 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.
Benefits & conditions
- 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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