Senior Data Engineer Praha

Senior Data Engineer

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Role Overview

The Data Engineer will be instrumental in building and maintaining robust data pipelines, ensuring the integrity and quality of our data, and contributing significantly to the design and expansion of our data systems. This role is designed for professionals at the mid-level to senior stages of their careers, offering a unique opportunity to directly impact our Engineering department's operations and initiatives through close collaboration and targeted data solutions.

What you’ll do:

• Develop and maintain high-quality data pipelines, focusing on the needs of the Engineering department and ensuring seamless data integration and accessibility, thus enhancing engineering health, productivity, and quality metrics.
• Collaborate closely with the Engineering department to understand their data requirements, contributing to the decision-making through precise data insights.
• Maintain our data warehouse, ensuring it meets the timely and quality data needs and company-wide requirements.
• Implement and advocate for DataOps practices across projects, emphasizing product quality, security, and performance enhancements.
• Help pinpoint and execute an appropriate engineering productivity framework (such as DORA, SPACE, or similar) to bolster the Engineering department's effectiveness and efficiency.
• For Senior Data Engineers: Lead data system designs and implementations, offering technical guidance and mentorship within the data engineering team and fostering strong collaborative ties with the Engineering department.

What we are looking for:

• 5+ years of relevant experience in data engineering.
• Ability to work in collaboration with Engineering departments
• Proficiency in Python, underscored by a track record of deploying high-quality code in production environments.
• Exceptional data modeling skills and familiarity with various modeling methodologies. Ability to adeptly translate business requirements into existing data architecture, ensuring seamless alignment and integration of business needs with data models.
• Deep understanding of SQL, analytical data warehouses (e.g., Snowflake), and hands-on experience with ETL/ELT best practices.
• Practical knowledge in managing data workflows using tools like Airflow, with a preference for candidates well-versed in AWS cloud services.
• Skills in formulating metrics to assess and enhance system cost efficiency, supporting strategic decision-making and optimizations.
• Understanding of Master Data Management (MDM) principles, aimed at ensuring data consistency, accuracy, and accountability across shared assets.
• Excellent communication skills and the ability to work collaboratively with the Engineering department and other teams to identify and fulfill data requirements.

What we offer:

• 📈 RSUs grant in a rapidly growing company raising its value every day
• 💸 Annual bonus
• 🌎 Multinational team with 42 nationalities creating the future of automation
• 🎓 Learning & Development plan (online language, professional courses, conference tickets and other trainings) & 2 Company Learning Days per year
• 🌳 3 Company Impact Days per year
• 🍎 Notebook/Macbook and 34’’ curved monitor
• 🏝 25 days of vacation, 4 sick days, company day off on 31st December
• 🫶 10 care days to care for your loved ones
• 👨‍👩‍👧‍👦 Extra parental vacation (3-6 months)
• 👶 RSUs grant for a newborn child
• ☂ Life insurance
• 🏋 Benefit Plus Cafeteria (incl. MultiSport Card)
• 💰 Remote working allowance
• 🍍 Snack bar, coffee, tea, fruit and vegetable, and sweets all day - every day - available for everyone
• 🥗 Monday breakfast, Wednesday lunch, and Friday break, with company-provided food and drinks, with music and lively discussion
• 🏡 Flexible working hours + home office
• 🐕 Company therapy pets in Prague's office (dog-friendly office)
• 🖨 Company 3D printer
• 🥳 Team buildings, parties, and company events multiple times a year

If you see a match, let us know and apply now!

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