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Senior Data Engineer
Job summary
A dynamic Digital Transformation Consultancy is seeking a Data Engineer to deliver data-driven solutions for government clients. This role involves designing ETL pipelines using AWS services, collaborating with data experts, and utilizing big data technologies. The ideal candidate should have expertise in data engineering, Python, Spark, and SQL. SC clearance is required, and the position allows for remote work with occasional visits to London. Apply today to be part of a forward-thinking consultancy!
Qualifications
- Proven hands-on experience in data engineering projects.
- Expertise in Python, PySpark, and SQL languages.
- Experience of designing data pipelines using cloud-native services on AWS.
Responsibilities
- Design, implement, and debug ETL pipelines to manage complex datasets.
- Leverage big data tools to deliver scalable solutions.
- Collaborate with stakeholders to ensure data quality.
Skills
Location: Remote / London occasional visits to London
Salary: Up to £70,000
Start Date: ASAP
Join a dynamic Digital Transformation Consultancy as a Data Engineer and play a pivotal role in delivering innovative, data-driven solutions for high-profile government clients. You’ll be responsible for designing and implementing robust ETL pipelines, leveraging cutting‑edge big data technologies, and driving excellence in cloud‑based data engineering.
This role offers the opportunity to work with leading technologies, collaborate with data architects and scientists, and make a significant impact in a fast‑paced, challenging environment.
- Design, implement, and debug ETL pipelines to process and manage complex datasets.
- Leverage big data tools, including Apache Kafka, Spark, and Airflow, to deliver scalable solutions.
- Collaborate with stakeholders to ensure data quality and alignment with business goals.
- Utilize programming expertise in Python, Scala, and SQL for efficient data processing.
- Build data pipelines using cloud‑native services on AWS, including Lambda, Glue, Redshift, and API Gateway.
- Monitor and optimise data solutions using AWS CloudWatch and other tools.
- Proven hands‑on experience in data engineering projects
- Good hands‑on experience of designing, implementing, debugging ETL pipeline
- Expertise in Python, PySpark and SQL languages
- Expertise with Spark and Airflow
- Experience of designing data pipelines using cloud native services on AWS
- Extensive knowledge of AWS services like API Gateway, Lambda, Redshift, Glue, Cloudwatch, etc.
- Iac experience of deploying AWS resources using terraform
- Hands‑on experience of setting up CI / CD workflows using GitHub Actions
- Must be a British Citizen or have resided in the UK for at least 5 consecutive years.
- Detailed employment history for the past 10 years or longer may be required.
- Be part of a forward‑thinking consultancy driving digital transformation for industry leaders.
- Work with the latest big data and cloud technologies.
- Collaborate with a team of skilled professionals in a fast‑paced and rewarding environment.
If you’re passionate about delivering impactful data solutions and meet the criteria for this role, we’d love to hear from you. Apply today and lead the way in digital transformation!
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.