Data Engineer

Mediatech is one of the fastest-growing digital publishing houses, reaching over 25 million people every month across Cybernews, Wellness Pulse, InvestorsObserver, and our wider network.

We deliver trusted, independently researched insights across tech, cybersecurity, health, and finance. Our investigations have exposed major security issues at NASA, WhatsApp, ChatGPT, PayPal, LinkedIn, and the Red Cross, and uncovered the largest-ever password leak (RockYou2024).

We’re a team driven by curiosity, impact, and fast growth - and we’re looking for people who want to build with us.

Our data team brings together engineers, scientists, and analysts who play a key role in shaping the way we grow. We work across the company to support smart, data-driven decisions and lead high-impact, fast-scaling projects. We enjoy working with large volumes of data, building solid infrastructure, and creating solutions that push the business forward.

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.

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  Build and maintain data pipelines for collecting, transforming, and loading data from various sources

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  Participate in the design and implementation phases of data projects

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  Create and optimise ETL processes and data storage strategies

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  Implement and maintain data models within our data warehouse

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  Contribute to DevOps practices including CI/CD pipelines and automated testing

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  Support troubleshooting and resolution of production issues

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  Collaborate with team members to improve our data infrastructure

• 3+ years of experience in data engineering

• Strong Python programming skills

• Proven experience with ETL pipeline development

• Advanced SQL skills including stored procedures and optimization

• Experience with Airflow, Docker, and Terraform

• Hands-on experience with Snowflake or similar data warehousing technologies

• Working knowledge of AWS or Google Cloud

• Excellent communication and teamwork abilities

3500 - 5300 EUR/month. Salary offers are based on the candidate's experience. Keep in mind that we are open to discuss a different salary based on your skills and competencies.