Data Engineer with AWS

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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

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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 Udemy learning 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