Senior Data Engineering Manager

Summary

Join Hippo Insurance's Polish branch as a Staff Data Engineer and lead a team in designing and implementing a cutting-edge data warehouse. You will collaborate with cross-functional teams, improve data accessibility and quality, and drive data-driven decision-making. This role requires strong technical expertise in data engineering, architecture, and modern data stack tools. The ideal candidate possesses experience mentoring data engineers and leading teams in fast-paced environments. Hippo Insurance offers a competitive salary, remote work flexibility, comprehensive health benefits, and various perks.

Requirements

• Have a strong technical background in data engineering with a track record of making and guiding technical decisions
• Bring hands-on expertise in data architecture, ETL processes, and designing scalable data pipelines
• Are proficient in modern data stack tools and technologies, including cloud platforms (AWS, GCP, Azure), data lakes, and data warehouses like Snowflake or BigQuery
• Balance strategic vision with the ability to dive into hands-on work when needed
• Excel in verbal and written communication, effectively explaining complex technical concepts to both technical and non-technical audiences
• Are skilled at leading teams, including those with highly senior individual contributors
• Have experience mentoring data engineers and helping them enhance their technical skills and decision-making abilities
• Possess experience with distributed systems and large-scale data processing frameworks such as Spark or Flink

Responsibilities

• Directly manage a team of data engineers (3-5 people), providing guidance, mentorship, and fostering a culture of continuous learning and technical excellence
• Collaborate closely with BI engineering and data platform teams to deliver scalable and reliable data solutions
• Lead initiatives to improve data accessibility, ensuring data is easy to understand and actionable for business stakeholders
• Develop and execute plans to enhance data quality, security, and governance, aligning with business needs and regulatory requirements
• Partner with engineering, product, and business teams to define and prioritize projects that enable data-driven decision-making
• Drive efforts to make data a strategic asset for the company, enabling critical decision-making capabilities for 2025 and beyond

Preferred Qualifications

• Previous experience working in fast-paced, enterprise-level environments with cross-functional teams
• Knowledge of machine learning pipelines or integrating analytics/BI tools into data workflows

Benefits

• Salary 37.000 – 45.000 PLN + VAT on B2B or equivalent on the contract of employment
• Form of employment of your choosing
• Remote work & flexible working hours
• Paid sick leave
• Paid holidays
• Private medical care with dentists & orthodontists package for you and your family
• Group life insurance
• Psychotherapists support — free online sessions with psychologists and psychotherapists
• Home physiotherapy
• Multisport card & meditation apps reimbursed 50%
• Gear with Apple Logo and monitor
• 50% reimbursement for courses, conferences, books & certificates
• Free access to private language lessons
• 6 Personal Development Days & 4 Voluntary Days Off
• Cafeteria platform — extra “stówka”every month to spend on whatever you want to
• Nanny services for parents
• Concierge services – a personal assistant to help you to deal with your everyday matters
• Chill room with table football & PlayStation 5
• Free snacks, and ice cream in the office (every day, all year round!)
• Free Friday Lunch in the office
• Team building events — we party together several times a year during the annual Offsite & Christmas Parties, beer after work, or our #WinterEscapeMonth workation in Cyprus