Data Engineer

Vilnius

ABOUT US

IPRoyal builds data access and data-mining infrastructure trusted by thousands of organizations worldwide - from fast-growing startups to large enterprises.

Our products enable customers to reliably collect and work with publicly available data at scale, solving complex challenges around availability, performance, and compliance. We operate globally, at high volume, and under demanding reliability requirements.

As our customers and use cases evolve, so does the complexity of our platform - which is why our data infrastructure and analytics capabilities are becoming a critical growth lever for the company.

ABOUT THE ROLE

We're looking for a Data Engineer with 2–5 years of experience to join our data team. You'll own data pipelines end-to-end - from ingestion, through transformation, to serving - and the dbt models that turn raw source data into clean, well-governed, analyst-ready datasets. You'll work hands-on across the stack: building and orchestrating pipelines, modeling data dimensionally, and enforcing quality and governance - partnering with analysts on what the data should mean.

WHAT YOU’LL DO

Build, optimize, and maintain dbt models across staging, intermediate, and mart layers, following dimensional modeling best practices (star/snowflake schemas, slowly changing dimensions)
Develop and maintain data ingestion and processing pipelines (Airbyte and custom Python) that move data from APIs, databases, and other sources into the warehouse
Design, schedule, and monitor pipelines using a workflow orchestration tool - defining assets/jobs, handling dependencies, and diagnosing failures
Establish and maintain data quality frameworks - dbt tests, source freshness checks, anomaly detection, and monitoring/alerting from source to serving layer
Enforce data governance within the transformation layer - documentation, naming conventions, data contracts, lineage, and access considerations
Manage and optimize the warehouse for cost, performance, and structure - partitioning, clustering, and incremental load strategies
Contribute to engineering standards - coding conventions, PR review, and CI/CD for the dbt and orchestration codebases

WHAT WE ARE LOOKING FOR

2–5 years of experience in a data engineering, analytics engineering, or comparable role
Solid SQL skills and experience with at least one MPP/columnar database (BigQuery, Snowflake, Redshift, or similar)
Hands-on experience with dimensional data modeling - star schemas, snowflake schemas, slowly changing dimensions, fact/dimension table design
Working knowledge of Python for data tasks - ingestion, processing, APIs, and lightweight ETL
Experience with a workflow orchestration tool (Dagster, Airflow, Prefect, or similar) - building and debugging scheduled pipelines in production
Experience building data quality frameworks - tests, freshness checks, and a reliability mindset around idempotency and failure handling
Familiarity with cloud platform services (GCP, AWS, or Azure - compute, storage, IAM)
Experience with Git-based workflows, code review, and CI/CD (GitHub Actions, GitLab CI, or similar)

OUR CURRENT STACK

Cloud Platform: Google Cloud Platform (GCP)
Data Warehouse: BigQuery
Transformation: dbt
Orchestration: Dagster
Scripting & Integration: Python
Data Ingestion: Airbyte
BI / Semantic Layer: Lightdash

WHAT WE OFFER

Real ownership: Work on a data platform that directly impacts product and business decisions.

Visible impact: Your work will enable teams across the company to make better, faster decisions.

Builder culture: Fast decisions, low bureaucracy, and a high-trust environment.

Learning & growth: Opportunity to deepen expertise in modern data stack and large-scale data systems.

Resources to Win: Budgets for tools, learning, and professional growth - plus support for work equipment and other essentials.

Exclusive Perks: Enjoy a range of benefits, from snacks and performance bonuses to team workations and special company experiences.

Salary range: €4,000 – €6,000 gross / month. Strong experience and expertise may be reflected in a compensation package above the stated range.

Apply now

Why Choose Us

Workspace freedom

Embrace the flexibility to work remotely from the comfort of your home, or enjoy the perks of our vibrant offices in New York City (US), Ajman (UAE), Vilnius, Kaunas, or Klaipėda (Lithuania). Choose your ideal workspace to grow your career.
Thriving team

Seize the opportunity to grow within a dynamic, fast-growing team of remarkable people. Join an environment with enthusiastic professionals who push each other to grow and improve.
Offsite & workshops

Enjoy regular team-building events to make your experience with us even better. From local workations to exciting adventures abroad, these events make our team stronger and more creative.
Professional growth

Access additional budgets for office equipment and training, empowering you to reach your full potential. We’re here to support you and help you expand your professional skills so you can thrive.
Health and wellness

Experience peace of mind with a dedicated budget for wellness expenses. Your well-being is our priority, and we’re here to ensure you receive the best possible care.
Additional benefits

Enjoy personalized celebrations for birthdays, weddings, and other special occasions, discounts at the best local shops, and complimentary parking near the offices.

Infrastructure Over Hype

We think in systems and long time horizons, designing and maintaining infrastructure that works reliably at scale, even when it’s invisible.
Trust Compounds

We build technology, systems, and relationships that earn trust over time - because trust in the company, the product, and the team is what allows scale to last.
Ownership Drives Outcomes

We notice problems, make decisions, and own outcomes end to end, knowing that real ownership creates speed, accountability, and lasting impact.
Relentless Efficiency

We question assumptions and optimize how work is done, understanding that efficiency compounds into a durable long- term advantage.