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Senior Data Engineering Manager

fully flexible
Remote: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

Strong technical background in data engineering., Hands-on experience in data architecture and ETL processes., Proficient with cloud platforms and data warehousing technologies., Experience mentoring data engineers..

Key responsabilities:

  • Manage and mentor a team of data engineers.
  • Collaborate on scalable and reliable data solutions.
Swing Development (SwingDev) logo
Swing Development (SwingDev) SME https://www.swing.dev/
11 - 50 Employees
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Job description

We are a Polish branch of a fast-growing InsurTech product company from Silicon Valley - Hippo Insurance. Our mission is to revolutionize home insurance in the US, starting from IoT monitoring devices to our industry-leading software. 

How do we want to get there? We need a top-notch talent, just like you! 

Putting a lot of effort into hiring top-tier professionals [można wymienić: devs, designers, PMs, and QAs], is a proof that we care a lot about tech experience, the attitude, human approach, and what we could call „culture fit”.

„SwingDev is all about people” - yes, it may sound a bit cliche. But whether we're writing code or just hanging out, we know that people are at the heart of everything we do. We like to have a good time and keep things light, even when we're tackling big projects. We could brag about what’s making us special, but we’ve boiled it down to two key ingredients: mature, companionable people who, rather than compete, prefer to inspire and have each other’s backs; a culture of trust, empathy, and positivity that keeps us together, lets us interact as teammates and friends, and truly enjoy the ride.


About the role:
We're looking for a talented Staff Data Engineer who is excited to tackle large cross-functional problems and influence how teams across the company think about data as a part of their project lifecycles. This tenacious engineer will lead the architectural design of our data warehouse, focusing on supercharging data analytics capabilities, and optimizing data warehousing cost and runtime. An ideal candidate brings constant curiosity, a passion for data, and a deep understanding of the technologies behind data pipelines, warehousing, big data, and analytics. Prior experience successfully transitioning a company from startup to established is a big plus.  


What will you do?
  • You'll directly manage a team of data engineers (3-5 people), providing guidance, mentorship, and fostering a culture of continuous learning and technical excellence.
  • You'll collaborate closely with BI engineering and data platform teams to deliver scalable and reliable data solutions.
  • You'll lead initiatives to improve data accessibility, ensuring data is easy to understand and actionable for business stakeholders.
  • You'll develop and execute plans to enhance data quality, security, and governance, aligning with business needs and regulatory requirements.
  • You'll partner with engineering, product, and business teams to define and prioritize projects that enable data-driven decision-making.
  • You'll drive efforts to make data a strategic asset for the company, enabling critical decision-making capabilities for 2025 and beyond.

  • We might be a match if you…
  • 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.

  • You will get extra points for:
  • 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. 
  • What benefits are waiting for you?

    Salary
    37.000 – 45.000 PLN + VAT on B2B or equivalent on the contract of employment

    Basics 
    📝 Form of employment of your choosing
    🌎 Remote work & flexible working hours 
    🤒 Paid sick leave
    🏖️ Paid holidays

    Health & Safety
    💊 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%

    Working conditions & Development
    💻 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 

    Extras you may like
    🎫 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

    Required profile

    Experience

    Level of experience: Senior (5-10 years)
    Spoken language(s):
    English
    Check out the description to know which languages are mandatory.

    Other Skills

    • Decision Making
    • Team Leadership
    • Communication
    • Mentorship

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