Data Operations Engineer

**This role is located in Munich (Germany) or Budapest (Hungary) - We are a hybrid work environment and are in the office 3+ days/per week.**

Tulip, the leader in frontline operations, is helping companies around the world equip their workforce with connected apps, leading to higher quality work, improved efficiency, and end-to-end traceability across operations. Companies of all sizes and across industries have implemented composable solutions with Tulip’s cloud-native, no-code platform to solve some of the most pressing challenges in operations: error-proofing processes and boosting productivity, capturing and analyzing real-time data, and continuous improvement.

A spinoff out of MIT, Tulip is headquartered in Somerville, MA, with offices in Germany and Hungary. Focused on composable, human-centric solutions for industrial environments, Tulip is disrupting the MES category and has been recognized as a World Economic Forum Global Innovator. Tulip has also been named one of Energage’s Top Workplaces USA and one of Built In Boston’s “Best Places to Work” and “Best Midsize Places to Work” for 2024. 

About You:

As a Data Operations Engineer, you'll be a foundational member of our new Data Operations team, reporting directly to the Data Operations Lead. Based in either our Munich or Budapest office, you will play a crucial hands-on role in the day-to-day execution of ensuring our data infrastructure and pipelines are reliable, performant, and deliver high-quality data. You will support the monitoring, maintenance, and automation efforts critical to our data warehouse (currently Redshift), BI platform (Sigma Computing), and ETL/ELT processes (using Airflow and dbt). This is an excellent opportunity to contribute to building robust data operations practices from the ground up within a supportive, international team environment.

What skills do I need?

• Experience: 2-4+ years of relevant experience in data engineering, data operations, SRE with a data focus, or backend engineering with data infrastructure responsibilities within a cloud environment.
• Scripting: Proficiency in Python for automation and tooling.
• SQL: Strong SQL skills for querying, troubleshooting, and data validation.
• Cloud Environment: Hands-on experience working within a major cloud platform, preferably AWS.
• Data Pipelines: Experience working with data pipeline concepts and tools, including orchestration (e.g., Airflow), transformation (e.g., dbt), and ingestion (e.g., Airbyte, Fivetran).
• Databases/Warehouses: Familiarity with relational databases (e.g., PostgreSQL) and cloud data warehouses (e.g., Redshift, Snowflake, BigQuery).
• Collaboration: Good communication and collaboration skills, with the ability to work effectively in an international setting.
• Problem-Solving: Analytical and troubleshooting skills with attention to detail.
• Version Control: Experience using Git.
• Language: Excellent English (written and spoken).

Nice to Haves:

• Experience using monitoring and logging tools (e.g., Datadog, Prometheus, Grafana, ELK stack, CloudWatch).
• Experience with BI tools, particularly Sigma Computing.
• Familiarity with data governance concepts or tools like Datahub.
• Experience working in a SaaS company environment.
• Knowledge of Infrastructure as Code tools (e.g., Terraform, CloudFormation).
• Experience with containerization technologies (Docker, Kubernetes).
• Familiarity with CI/CD tools and practices.

Key Responsibilities:

• Support the day-to-day monitoring, management, and optimization of data pipelines ensuring timely and reliable data delivery.
• Troubleshoot and resolve data pipeline failures, performance bottlenecks, and data quality issues under the guidance of the Data Operations Lead.
• Develop and maintain scripts (primarily Python) and tools to automate data operations tasks, deployments, and monitoring checks.
• Assist in the administration and performance tuning of our data warehouse (Redshift) and BI platform (Sigma Computing).
• Implement and maintain monitoring, logging, and alerting systems to ensure high availability of critical data.
• Contribute to the implementation and adherence to data quality frameworks and processes.
• Support the operational aspects of our data governance platform
• Partner with Data Engineers (SID team) embedded in Engineering, Infrastructure engineers in TechOps, and other stakeholders to build and maintain data pipelines and resolve data-related issues.
• Help maintain documentation for operational procedures, system configurations, and troubleshooting guides.
• Participate in an on-call rotation to support critical data systems.

Key Collaborators:

• IT
• Product & Engineering 
• Operations

Working At Tulip

We know even great candidates experience imposter syndrome. Even if you don’t match every requirement, applying gives you the opportunity to be considered. 

We’re building a strong, diverse team that values hard work, families, and personal well-being. Benefits of working with us include:

GmbH Employees

• Direct impact on product and culture
• Company equity
• Competitive benefits package including commuter benefits, learning and development benefits, team events, catered lunches 3 days a week.
• Flexible work schedule and unlimited vacation policy
• Learning and Development Benefit
• Virtual company events and happy hours

KFT Employees

• Direct impact on product and culture
• Company equity
• Flexible work schedule and unlimited vacation policy
• Virtual company events and happy hours
• In-office catered lunches and stocked kitchens
• Private Healthcare
• Learning & Development benefits

We are an equal opportunity employer. At Tulip, we celebrate all. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Help us build an inclusive community that will transform frontline operations. 

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.