Job Description

Role Overview:
The Technical Lead for the Data Platform is responsible for overseeing the delivery of data platform solutions and technical standards. This role drives leading a team for successful implementation of scalable, secure, and high-performing data platforms, ensuring alignment with business objectives and technical excellence.

Primary Responsibilities

• Design, develop, and maintain data pipelines to extract data from diverse sources and populate the data lake and data warehouse.

• Develop data transformation rules and data modeling capabilities to support business requirements.

• Collaborate with Product Analysts, Data Scientists, and Machine Learning Engineers to identify and transform data, making it understandable and actionable.

• Work with the data governance team to implement data quality checks and maintain data catalogs.

• Utilize orchestration, logging, and monitoring tools to build resilient, production-grade pipelines.

• Apply test-driven development methodology when building ELT/ETL pipelines.

• Analyze data to support business insights and reporting.

• Use Git for version control and understand various branching strategies.

• Participate as part of an agile team, contributing to sprint planning, reviews, and retrospectives.

• Create technical documentation as needed to support platform operations and onboarding.

Technical Leadership

• Provide guidance on architecture, design, and implementation of cloud-based data platforms.

• Collaborate with data engineers, architects, and operations teams to ensure best practices are followed.

• Drive adoption of modern data technologies and frameworks.

• Translate business requirements into technical deliverables.

• Communicate progress, risks, and mitigation plans effectively to stakeholders.

• Experience in data modeling and data mapping.

Governance & Compliance

• Ensure data security, privacy, and compliance with regulatory standards.

• Implement monitoring, logging, and performance optimization strategies.

Team Leadership

• Mentor and guide technical teams, fostering a culture of collaboration, innovation, and continuous improvement.

Required Skills & Qualifications

• Technical Expertise:

  Strong knowledge of data platforms (e.g., AWS, Azure Data Services, Databricks).Proficiency in data engineering concepts: ETL, data modeling, streaming, APIs.Familiarity with CI/CD and DevOps practices.Solid experience with AWS services (S3, IAM, Redshift, Sagemaker, Glue, Lambda, Step Functions, CloudWatch).Experience with platforms like Databricks, Dataiku.Proficient in Python / Java and SQL (Redshift preferred).Experience with Jenkins, CloudFormation, Terraform, Git, Docker.Experience with Spark/PySpark.Experience using Airflow for orchestration.Ability to work in cross-functional teams.

• Soft Skills:

  Excellent communication and stakeholder management.Strong problem-solving and decision-making abilities.

Education & Experience

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.

• 8+ years in data engineering or platform roles, with at least 3 years in a leadership/delivery capacity.

Preferred Qualifications

• Certifications in cloud platforms (AWS, Azure).

• Experience with data governance tools and frameworks.

• Exposure to AI/ML data pipelines.

​Location: Prague

What we offer: 

• Exciting work in a great team, global projects, international environment 
• Opportunity to learn and grow professionally within the company globally 
• Hybrid working model, flexible role pattern (e.g., even 80% full-time is possible in justified cases) 
• Pension and health insurance contributions 
• Internal rew