Senior Data Engineer

Vilnius

•

Technology

Mediatech

As one of the fastest-growing digital publishing houses in the world, Mediatech combines digital, tech, and content competencies to simplify complex information and make it accessible to everyone. Since launching Cybernews in 2019, expanding into Wellnesspulse, and creating a financial insights platform Investorsobserver, we have grown to a team of 300 in-house experts and over 200 global contributors.

Development department

BI team leading us to success by initiating data-driven changes and shaping large scale exponentially growing projects. Our team is passionate about the possibility of working with huge amounts of data and making an incredible impact on business success.

You

A data engineer who thrives on building robust, scalable data infrastructure and elegant data pipeline solutions. You're passionate about clean code, automation, and creating systems that stand the test of time. Working in our fast-paced environment, you'll collaborate with cross-functional teams to transform complex data challenges into elegant solutions. Bring your ideas forward and make them happen.

Personal professional growth

Unlock your potential with our career growth resources: customized sessions, conferences, courses, and books.
Bonus vacation days

Earn more time off the longer you work with us.
Health insurance

Experience complete peace of mind with our comprehensive private health insurance, making your well-being a top priority.
Wellbeing

Access top resources for your well-being, including customized workouts, mindfulness sessions, expert advice, fun events, and snacks.
Office first culture

Office first culture Boost collaboration and innovation through in-person meetings. Speed up decisions and foster growth in a dynamic work setting.

WHAT WILL YOU DO

Design and implement enterprise-level data architecture solutions
Lead the development of complex data pipelines using Python and modern data tools
Design and optimise Apache Airflow workflows for maximum efficiency
Lead technical decision-making for data infrastructure and tooling
Promote engineering best practices
Drive improvements in data quality, reliability, and performance
Collaborate with stakeholders to translate business needs into technical solutions

WE EXPECT YOU TO HAVE

5+ years of experience in data engineering
Expert-level Python programming skills
Advanced knowledge of data warehousing concepts and Snowflake
Proven experience with large-scale data pipeline development
Strong background in system design and architecture
Experience leading technical projects and mentoring engineers
Excellence in SQL optimization and database performance tuning
Experience in AWS cloud infrastructure and services would be a plus

AT MEDIATECH YOU WILL GET

Paid sick days and private health insurance that includes dental, vision, health checks, and 80% coverage for 25 psychotherapy sessions
Access to premium mental health apps, onsite workouts, and gym membership support — all available during parental leave too
Learning budget for courses, conferences, and books — your growth is always backed
Extra days off, thoughtful gifts, and bonuses to celebrate life’s milestones like birthdays, weddings, and new arrivals
Pet-friendly, centrally located office with game zones, healthy snacks, and cozy spaces to unwind
Fun company events, fitness challenges, and team-building activities that actually connect people
Additional vacation days the longer you stay — because recharging is essential

GROSS SALARY

4950 - 6280 EUR/month. Keep in mind that we are open to discuss a different salary based on your skills and competencies

Step 1

Application

Tell us who you are. No need for a biography – but we’d love to know more about you and your plans.
Step 2

First communication

Then, we’ll talk about your role and mutual expectations. If it’s a match, let's move further!
Step 3

First interview

Now we’ll talk, trying to learn all about you. Both as a professional, and as a colleague.
Step 4

Assessment evaluation

It’s test task time! With a suitable assignment, we’ll check your skill level and expertise.
Step 5

Final interview

You're almost there! Here, you’ll get to meet your potential colleagues – manager, team, or even the CEO.
Step 6

Feedback

With our answer ready, we’ll let you know what we think. Feedback is valuable – so is your time.

Did we spark your interest?

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