Data Engineer with AWS

Growth through diversity, equity, and inclusion. As an ethical business, we do what is right — including ensuring equal opportunities and fostering a safe, respectful workplace for each of us. We believe diversity fuels both personal and business growth. We're committed to building an inclusive community where all our people thrive regardless of their backgrounds, identities, or other personal characteristics.
What you'll be doing

Develop and maintain data pipelines:

Modify existing Lambda functions, SQL queries and processing jobs to add new features

Refactor code to ingest/process external data

Add quality checks to existing pipelines

Design and optimize data models:

Design data models leveraging Iceberg format, for “silver” and “gold” layers

Optimize queries for performance

Ensure data quality and governance:

Apply data validation rules

Build automated quality checks

Documentation and knowledge sharing:

Document the data preparation process clearly, including transformations, code comments, and key decisions

Store all code in GitLab with meaningful commit messages and proper versioning for code and datasets

What we're looking for

Data Engineering Design and Delivery

4–6 years of experience as Data Engineer

Proven experience designing and building scalable, reliable, and maintainable data pipelines.

Familiarity with CI/CD, automated testing, and Infrastructure as Code practices.

Strong Python-based data pipeline development skills (or equivalent), with experience applying Test-Driven Development and AI-assisted coding practices.

Strong data modeling and schema design expertise, including analytical models and scalable, maintainable data structures.

Familiarity with DBT (Core or Cloud), including modular SQL transformations, data modeling, testing, documentation, and dependency management.

Orchestration, Quality, and Reliability

Familiarity with pipeline orchestration tools such as Airflow.

Understanding of data observability, monitoring, failure recovery, and pipeline reliability.

Cloud and Performance Optimization

Strong SQL expertise, including complex queries, performance optimization, and analytical data modeling.

Knowledge of optimizing Iceberg tables, Athena queries, and Spark workloads for performance and cost efficiency.

Hands-on experience with AWS services, including Athena, Lambda, Aurora, EventBridge, Glue, and SageMaker.

Soft skills

Clear, concise communication with engineers, product, and data stakeholders.

Pragmatic mindset: balances engineering rigor with delivery.

Sense of ownership

Fluent English

We offer

Stable employment. On the market since 2008, 1800+ talents currently on board in 7 global sites.

“Office as an option” model. You can choose to work remotely or in the office.

Workation. Enjoy working from inspiring locations in line with our workation policy.

Great Place to Work® certified employer.

Flexibility regarding working hours and your preferred form of contract.

Comprehensive online onboarding program with a “Buddy” from day 1.

Cooperation with top-tier engineers and experts.

Unlimited access to the Udemylearning platform from day 1.

Certificate training programs. Lingarians earn 500+ technology certificates yearly.

Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.

Grow as we grow as a company. 76% of our managers are internal promotions.

A diverse, inclusive, and values-driven community.

Autonomy to choose the way you work. We trust your ideas.

Create our community together. Refer your friends to receive bonuses.

Activities to support your well-being and health.

Plenty of opportunities to donate to charities and support the environment.

Modern office equipment. Purchased for you or available to borrow, depending on your location.

Technology
AWS, Glue, S3, DBT, Python

Seniority
senior

Spotlight
yes

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