Data Engineer
Featuredneweasy
Milton Keynes, UK
2 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
£70,000.0 - £75,000.0
Working hours
Regular working hours
Job source
Tech stack
Airflow
Amazon Web Services
Microsoft Azure
BigQuery
Code Review
Continuous Integration
Extract Transform Load (ETL)
Data Warehousing
Python (Programming Language)
Machine Learning
Standard Sql
Workflow Management Systems
+9 more
Cloud Platform System
Snowflake
Apache Spark
Apache Kafka
Machine Learning Operations
Terraform
Data Pipelines
Amazon Redshift
Databricks
Job description
Looking for a Data Engineer to build and maintain the data pipelines and platforms that power analytics, reporting and machine learning. You’ll work with modern cloud tooling and join a collaborative team where your work has real business impact.
What You’ll Be Doing
- Designing, building and optimising scalable ETL/ELT pipelines
- Developing and maintaining data warehouses and lakes in the cloud
- Ensuring data quality, reliability and security across the platform
- Working with Data Scientists, Analysts and Product teams to deliver usable datasets
- Automating workflows and improving performance and cost efficiency
- Contributing to best practice, code reviews and documentation
Requirements
- Strong Python and SQL skills
- At least a BSc degree or equivalent
- Experience building data pipelines in production
- Hands-on experience with a cloud platform (AWS, Azure or GCP)
- Experience with data warehousing (Snowflake, Redshift, BigQuery or Synapse)
- Understanding of data modelling and CI/CD
Desirable
- Spark, Databricks or Kafka
- Orchestration tools such as Airflow or dbt
- Infrastructure as Code (Terraform)
- Experience supporting ML workloads
Benefits & conditions
- Competitive salary and bonus
- Hybrid working
- Pension, private healthcare, holiday, training budget
- Clear progression and exposure to modern tech
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Prepare application
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