Data Engineering Lead

18 godzin temu


Warszawa, Mazovia, Polska Sea Pełny etat

About Us

We are a remote-first software as a service (SaaS) company, revolutionizing the global shipping industry with cutting-edge technology. Our mission is to digitize manual, offline processes and provide a data-rich experience for shipping professionals.

With over 85% of world trade transported by sea, we have an unparalleled opportunity to transform existing workflows into efficient, tech-enabled solutions. Our flagship platform, Sea/, is a cloud-based digital shipping platform offering applications focused on the pre-fixture and at-fixture space, streamlining efficiencies and digitizing workflows.

To learn more about us, visit https://www.sea.live/

The Role and Responsibilities

We are seeking a seasoned Data Engineering Lead to join our team during an exciting time of growth. Key responsibilities include:

  • Collaborating with data engineers and analysts to solve complex problems, design, and deliver data products from ideation to production.
  • Owning the full lifecycle of data engineering deliverables and ensuring timely completion.
  • Designing and implementing complex data flows to process external data sources, providing the company with a competitive edge.
  • Serving as a consultant to the business, translating needs into actionable technical solutions.
  • Maintaining existing data solutions to guarantee reliability and high-quality data, maximizing its utility within the business.
  • Innovating through recommendations for improved data engineering tooling and processes.
  • Mentoring junior colleagues, guiding them in both technical and business domains.
  • Leading workshops to share knowledge and upskill colleagues in technical and business areas.

Essential Skills and Qualifications

The ideal candidate will possess:

  • Proven experience working in Data Engineering.
  • Expertise in Azure and Databricks Data Platform technology stacks, including:

Azure Data Lake Storage (ADLS Gen2)

Azure SQL (PaaS)

Azure Data Factory (ADF)

Azure Databricks (including Python coding)

Azure Functions

  • Proficiency in using data modeling techniques relevant to Data Warehousing/Business Intelligence contexts (such as Kimball and Data Vault).
  • Experience in understanding business requirements and translating these into technical deliverables.
  • Strong relationship-building skills and excellent communication abilities to collaborate effectively with cross-functional teams.
  • A self-starter with strong problem-solving skills and attention to detail.
  • Ability to work under tight deadlines and adapt to new information while working remotely.
  • Proven experience in developing optimal and reliable ETL processes to ingest and process data from various sources, implementing them in batch and real-time scenarios in cloud environments.
  • Experience in maintaining and supporting existing data solutions in Production environments, identifying improvement opportunities, investigating incidents, and monitoring to ensure SLAs are met.

Benefits

We offer a range of benefits to support your well-being and career growth:

  • Private medical care (Luxmed)
  • Voluntary group life insurance
  • MyBenefit or Multisport card
  • Language courses (English and German)
  • Mentoring program and internal training opportunities
  • Employee referral program
  • Paid days off from services (B2B)
  • A paid day off to care for your health – 'Dzień na U'
  • Integration events, joint company trips, birthday celebrations, and more

Growth Opportunities

We prioritize employee satisfaction and happiness, offering:

  • Salary: DOE 30,000 - 40,000 PLN/month (B2B) or UoP
  • Flexible working hours
  • You choose how you work – from our Poznań office or remotely from home, or like most of us, work hybrid
  • A strong focus on growth, interesting projects, and people who enjoy working together


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