for one of our renowned IT client based in London, UK. If interested, please share your updated CV to discuss further on the role.
Email: meenu.k@technopride.co.uk
We are seeking an experienced
AWS Data Engineer
to design, build, and maintain scalable data platforms on AWS. This role will focus on developing reliable, testable, and observable data pipelines using modern data engineering and software development practices.
The successful candidate will work closely with business and technical stakeholders to translate requirements into robust, data-driven solutions, while contributing to the evolution of a modern lakehouse architecture.
Key Responsibilities
Design and develop
scalable, testable data pipelines
using Python and Apache Spark.
Orchestrate and manage data workflows using AWS services such as
AWS Glue, EMR Serverless, Lambda, and Amazon S3
.
Apply modern software engineering practices including
version control, CI/CD pipelines, modular design, and automated testing
.
Contribute to the development and evolution of a
lakehouse architecture
using
Apache Iceberg
or similar table formats.
Collaborate with business stakeholders to understand requirements and deliver effective data-driven solutions.
Build observability into data pipelines and implement
basic data quality checks
.
Participate in
code reviews, pair programming, and architectural discussions
to promote best practices.
Continuously build domain knowledge and share insights with the wider team.
Required Skills & Experience
Strong ability to write
clean, maintainable Python code
, ideally using type hints, linters, and testing frameworks such as
pytest
.
Solid understanding of
data engineering fundamentals
, including batch processing, schema evolution, and ETL pipeline design.
Hands-on experience with, or strong interest in learning,
Apache Spark
for large-scale data processing.
Practical experience with the
AWS data ecosystem
, including
S3, Glue, Lambda, and EMR
.
Experience working in
Agile delivery environments
and collaborating closely with cross-functional teams.
Strong communication skills and a willingness to understand business context and stakeholder needs.
Nice to Have
Experience with
Apache Iceberg
or similar open table formats.
Familiarity with
CI/CD tools
such as GitLab CI, Jenkins, or GitHub Actions.
Exposure to
data quality frameworks
such as Great Expectations or Deequ.
Interest in financial markets, index data, or investment analytics.
Working Style
Collaborative and team-oriented, with a strong appreciation for shared ownership and knowledge exchange.
Curious and proactive, with a continuous learning mindset.
Comfortable balancing technical excellence with business outcomes.
Job Type: Fixed term contract
Contract length: 12 months
Pay: 70,000.00-75,000.00 per year
Work Location: Hybrid remote in London EC1A
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