[Hiring] Senior Data Engineer @8am

Role Description

8am is looking for a Senior Data Engineer to help design and scale the data platform that powers analytics, product insights, and machine learning across the company. In this role, you will own key parts of our data architecture, build reliable data pipelines, and partner closely with product, engineering, and analytics teams to turn raw data into decision-driving insights. You’ll also help set engineering standards, mentor teammates, and drive momentum across the team by improving the way we build, review, and operate data systems.

This role is hired through an Employer of Record (EOR) partner in the Czech Republic.

What you'll do

• Lead design discussions around data architecture, modeling strategy, and platform evolution
• Identify opportunities to simplify and scale the data platform
• Drive improvements to data reliability, observability, and data quality
• Establish and promote best practices for data modeling, testing, and code review
• Help the team prioritize work and balance speed with technical quality
• Develop and optimize ETL processes
• Integrate data sources across a broad product portfolio to provide stakeholders access to key information they need to excel at their job
• Mentor other data engineers
• Challenge how business use cases fit together and fit into our product
• Determine and proactively communicate future impacts of proposed or ongoing work
• Help the team mitigate any issues that arise in their product and its ecosystem
• Model data and metadata to support ad-hoc and pre-built reporting facilitating data access for our BI tools and analytical reporting
• Provide technical guidance to help Data Engineering evolve access to data platform
• Work with engineering to integrate tracking of new functionality into the data ecosystem
• Optimize the performance of business-critical queries
• Explain why the projects their team is working on have been prioritized over other projects

Qualifications

• 7+ years of data engineering experience
• Experience with data warehouses and large-scale analytics systems (Redshift, Snowflake, BigQuery, etc.)
• Strong experience designing and building data pipelines and data platforms
• Cloud infrastructure experience (AWS preferred)
• Experience building and maintaining relational as well as document, key-value, and other noSQL databases
• Advanced Python & SQL skills
• Experience working with third-party APIs for data integration
• Experience with business process automation
• Bachelor's degree or higher in a technical field (or similar combination of education and experience)
• Spark and Redshift experience (PySpark preferred)
• Experience with workflow orchestration tools (Airflow, Prefect, Dagster, etc.)
• Experience with Infrastructure as Code (Terraform / CloudFormation)
• Experience with event or streaming systems (Kafka or similar)
• CI/CD experience
• Demonstrated experience leveraging AI tools and technologies to improve workflows, enhance decision-making, or drive innovation.
• This position is preferably based in Brno, Czech Republic

Benefits

• Performance bonus opportunities and employee referral rewards
• Flexible Time Off (FTO) and 13 paid public holidays aligned with the Czech calendar
• Paid sick leave with additional support through the Czech social security system
• Maternity, paternity, and parental leave in line with Czech regulations, plus additional paid paternity leave from 8am
• Full statutory benefits, including public health insurance, social security, pension, and work accident coverage
• Access to Coursera (including Gen AI Academy) and ongoing professional development
• Clear growth paths, regular feedback, and opportunities for advancement