Key Data Engineering Role for Digital Transformation

15 godzin temu


Warszawa, Mazovia, Polska Sea Pełny etat

At Sea, a remote-first software as a service (SaaS) company, we are pioneering true digital transformation in the global shipping industry.

Our vision is to enhance the way shipping professionals work by creating technology for the maritime industry and bringing it to market.

Role Overview

We are seeking an experienced Senior Data Engineer to join our team. As a key member of our data engineering team, you will be responsible for delivering complex data flows to process external data sources and provide our company with a competitive edge.

As a Senior Data Engineer at Sea, you will lead and own the full lifecycle of data engineering deliverables, from ideation to production. You will also collaborate with cross-functional teams to meet business needs and innovate through recommending opportunities to improve data engineering tooling and process.

The ideal candidate will have a strong background in data engineering, with proven experience working with Azure & Databricks Data Platform technology stacks, including Azure Data Lake Storage (ADLS Gen2), Azure SQL (PaaS), Azure Data Factory (ADF), Azure Databricks (incl. Python coding), and Azure Functions.

Responsibilities
  • Work with data engineers & analysts to problem solve, build & deliver data products from ideation to production.
  • Lead and own the full lifecycle of data engineering deliverables.
  • Deliver complex data flows to process external data sources to provide the company with a competitive edge.
  • Act as a consultant to the business to meet their needs.
  • Maintain existing data solutions to ensure reliability and high data quality to maximise the utility of data within the business.
  • Innovate by recommending opportunities to improve data engineering tooling & process.
  • Mentor and provide guidance to more junior colleagues.
  • Lead workshops to knowledge share and upskill colleagues in both technical and business domains.
Requirements
  • Proven experience working in Data Engineering.
  • Proven experience working with Azure & Databricks Data Platform technology stacks, including:
    • Azure Data Lake Storage (ADLS Gen2)
    • Azure SQL (PaaS)
    • Azure Data Factory (ADF)
    • Azure Databricks (incl. Python coding)
    • Azure Functions
  • Proven experience of using data modelling techniques relevant in Data Warehousing / Business Intelligence contexts (such as Kimball and Data Vault)
  • Proven experience with understanding business requirements and translating these into technical deliverables.
  • Ability to create a strong relationship with stakeholders.
  • Excellent communication skills with the ability to collaborate effectively with cross-functional teams.
  • Self-starter with strong problem-solving skills and attention to detail.
  • Ability to work to tight delivery timescales and to take on new information working with a remote team.
  • Proven experience developing optimal and reliable ETL processes to ingest & process data from a wide variety of data sources (both structured and unstructured), implementing them both for batch and real-time scenarios in cloud environments.
  • Proven experience of maintaining & supporting existing data solutions in Production environments, identifying improvement opportunities, investigating and resolving incidents, and monitoring to ensure SLAs are met
Benefits
  • Private medical care (Luxmed)
  • Voluntary group life insurance
  • MyBenefit or Multisport card
  • Language courses (English and German)
  • Mentoring program and numerous internal pieces of training
  • Employee referral program
  • Paid days off from services
  • A paid day off to care for your health - 'Dzień na U'
  • Integration events, joint company trips, birthday celebrations and many other


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