Senior DataOps Engineer

The Senior Data Operations Engineer will support the management and optimisation of the company’s data systems and processes, reporting directly to the Data Operations Lead. This role requires a technically proficient individual with strong analytical skills to ensure data integrity, accessibility, and security across the data platform. The ideal candidate will have hands-on experience in data management, a keen eye for detail, and the ability to work collaboratively with different stakeholders.

• Assist in developing and enforcing policies for effective data management.
• Ensure data accuracy, consistency, and security through regular maintenance and monitoring.
• Support the implementation of data quality standards and maintain data governance practices.
• Manage and optimise data pipelines and ETL processes to ensure smooth and efficient workflows.
• Troubleshoot and resolve data-related issues promptly to minimise downtime.
• Monitor the availability and performance of data systems and tools, ensuring they meet operational standards.
• Work closely with the Data Operations Lead, Data Engineering, Business Intelligence, Analytics, and Business teams to support data initiatives.
• Collaborate with vendors and partners for data-related services as directed by the Data Operations Lead.
• Communicate effectively with team members and stakeholders to ensure alignment on data projects and initiatives.
• Assist in ensuring compliance with various jurisdictions and regulations, as well as industry best practices.
• Implement and maintain data security measures to protect sensitive information.
• Participate in regular audits and assessments to identify and mitigate risks.
• Check the status of data jobs to ensure they are running as expected and troubleshoot any issues.
• Monitor and maintain data pipelines, ensuring data flows smoothly between systems.
• Conduct data verification and integrity checks to maintain high data quality and accuracy.
• Perform reconciliations across various data sources to identify and resolve discrepancies.
• Proactively perform data audits to ensure data accuracy and compliance.
• Suggest and build improvements in data accuracy and reconciliation frameworks.
• Work collaboratively with the data team to address any operational challenges and support data-driven initiatives.
• On-Call Rotations - During specific weeks, you need to be available 24/7 in case of incidents.

• At least 3 years of Python engineering experience;
• At least 2 years of experience with SQL;
• 1+ years of experience in data management and data operations roles.
• Proficiency in SQL, Python, or other data manipulation languages.
• Experience with cloud data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).
• Familiarity with ETL tools (e.g., Apache NiFi or Airflow).
• Knowledge of cloud platforms (AWS, Azure, Google Cloud).
• Strong problem-solving skills and attention to detail.
• At least 1 year of experience in PowerBI (or similar);
• Excellent communication and teamwork skills.
• Experience with data quality management.
• Experience working with agile.
• Understanding of data governance frameworks and practices.
• Certifications in relevant data management or cloud platform technologies.

• 24 days of vacation per year;
• Private Health Insurance;
• Daily Breakfasts and Friday lunches in the office;
• Snacks in the Office;
• Transport Allowance of up to 150 euro paid quarterly (public transport or taxi);
• Gym Subsidies for office building gym;
• Tennis or Paddle Training sessions reimbursement, up to 100 EUR monthly;
• Discount for Premium subscription for Cloudigo;
• Discounts at partners of the company;
• Annual salary reviews;
• Birthday gifts;
• Option for parking;
• Regular office & team building events.