Senior Data Engineer

Make is the leading visual platform for anyone to design, build, and automate anything—from tasks and workflows to apps and systems—without the need for coding skills. We are headquartered in the flourishing tech hub of Prague, Czech Republic, and our teams are spread across the USA, UK, Germany, France, Canada, India and Chile, among other locations.

This role is ideal for professionals with a strong technical foundation, excellent data modeling and governance expertise, and exceptional communication skills. By working closely with various departments, the Senior Data Engineer will directly contribute to impactful business decisions and initiatives, bridging the gap between technical solutions and business needs.

You will become a member of a small, close-knit Data Engineering team, currently consisting of three members, which operates as an integral part of the broader Analytics team.

This position is open to mid-level to senior professionals, offering opportunities to design and implement scalable solutions, collaborate cross-functionally, and lead data-driven projects.

What you’ll do:

Technical Responsibilities:

• Design, build, and manage robust data pipelines using Airflow, ensuring seamless integration, transformation, and accessibility of data.
• Contribute to the development of our data platform, building custom plugins and operators to enhance pipeline functionality and reusability.
• Manage and optimize cloud-based infrastructure, primarily using AWS services.
• Implement and manage infrastructure as code using Terraform.

Data Responsibilities:

Translate complex business needs into effective data architecture and workflows.

• Design and maintain data models that align with business requirements, ensuring scalability and accuracy.
• Use SQL to build and optimize data models and serving layers that enable analytics and other teams to access ready-to-use, high-quality data.
• Advocate for and implement data governance best practices, focusing on visibility, quality, and compliance with industry standards.
• Develop and enforce data quality checks, contracts, and validation frameworks to ensure the integrity of data assets.

Communication & Collaboration:

• Collaborate closely with cross-functional teams to understand and fulfill their data needs, ensuring alignment between technical and business objectives.
• Clearly communicate technical concepts to non-technical stakeholders, fostering transparency and understanding.
• Manage and prioritize your workload effectively, demonstrating strong project management skills.
• For senior-level professionals: Lead data engineering projects and initiatives, mentoring team members and driving cross-team collaboration.

What we are looking for:

Technical Skills:

• 5+ years of experience in data engineering roles.
• Proficiency in Python with a proven ability to write and maintain production-grade code.
• Hands-on experience with AWS cloud services and orchestration tools (e.g., Airflow), as well as infrastructure as code tools like Terraform.
• Expertise in SQL and analytical data warehouses (preferably Snowflake), with knowledge of ETL/ELT best practices.
• Experience with Retrieval-Augmented Generation (RAG) AI systems is a plus.

Data Expertise:

• Strong data modeling skills and experience in translating business requirements into scalable data solutions.
• Deep understanding of data governance practices, including data quality frameworks and tools such as Soda or similar platforms.
• Familiarity with defining and tracking metrics to assess system performance and cost-efficiency.

Communication & Leadership:

• Excellent communication skills with the ability to bridge technical and business perspectives.
• Experience working closely with business teams to identify requirements and deliver impactful data solutions.
• Proven ability to manage and prioritize tasks, estimate effort, and lead projects or initiatives.
• For senior-level professionals: Demonstrated leadership in mentoring and guiding team members and leading collaborative efforts across departments.

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
• 🫶 10 care days to care for your loved ones
• 👨‍👩‍👧‍👦 Extra parental vacation (3-6 months) 
• 👶 RSUs grant for a newborn child
• ☂️ Life insurance
• 🏋️ Gympass
• 💳 Meal and transportation tickets, medical insurance
• 🥳 Team buildings, parties, and company events multiple times a year
• 🏡 Flexible working hours + home office

If you have any questions regarding the role please get in touch with: Kristina Nedjalkovova k.nedjalkovova@make.com

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