Data Engineering Lead
18 godzin temu
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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