What you will do
- Build and maintain scalable ETL and ELT pipelines across AWS services;
- Implement medallion architecture for data ingestion, transformation, and delivery;
- Collaborate with data architects on data modeling and schema design;
- Develop ingestion frameworks for structured, semi-structured, and streaming data;
- Integrate data quality, lineage, and observability into pipelines;
- Work with analytics and business teams to deliver consistent and well-documented data;
- Write clean and testable Python and SQL code following best practices;
- Support data governance and security standards including compliance requirements;
- Monitor pipeline performance, troubleshoot issues, and optimize scalability and cost efficiency.
Must haves
- 5+ years of experience as a Data Engineer working with AWS data ecosystems;
- Strong experience with AWS services (S3, Glue, Lambda, Kinesis, Redshift, Athena, Step Functions);
- Proficiency in Python, PySpark, and SQL for data transformation;
- Strong understanding of ETL design patterns, batch and streaming data processing;
- Knowledge of data modeling (star schema, snowflake schema, incremental processing);
- Experience with orchestration tools (Airflow, Step Functions, dbt);
- Understanding of data governance, data quality frameworks, and CI/CD for pipelines;
- Experience working in agile, cross-functional environments;
- Upper-intermediate English level.
As a Data Engineer, you’ll be part of a small, senior team building a cloud-native data platform on AWS from the ground up — moving raw data through Bronze, Silver, and Gold layers into clean, trusted, analytics-ready datasets that directly power business decisions. Working closely with the Data Architect and Head of Data, you’ll have real visibility into the full data lifecycle: pipeline design, data quality, governance, and delivery. If you want a role where your engineering work is foundational rather than incremental, and where the stack — S3, Glue, Redshift, dbt, Airflow, PySpark — is genuinely modern, this is it.
About the role
The benefits of joining us
Professional growth
Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps
Competitive compensation
We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities
A selection of exciting projects
Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands
Flextime
Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.
Your AgileEngine journey starts here
2 min
Tell us about yourself
2 sec
Confirm requirements
30 - 60 min
Pass a short test
5 min
Record a short video
→ Introduce yourself on a video, instead of waiting for an interview
Live interview
Ace the technical interview with our team
→ Schedule a call yourself right away after your video is reviewed
Live interview
Final interview with your team
→ Get to know the team you will be working with
Get an offer
As quick as possible
