Data Engineer

Posted 15 Days Ago
Be an Early Applicant
Berlin
Entry level
Information Technology • Business Intelligence • Big Data Analytics • Data Privacy
The Role
As a Data Engineer, you will design and create data pipelines, analyze and implement storage solutions, and refine data warehouse systems. Communication with clients to understand their needs and performing infrastructure performance analysis are also key responsibilities.
Summary Generated by Built In

Located in the vibrant heart of Berlin, Pandata provides advanced data solutions to empower companies with data and technological innovation.
Our corporate clients trust us with strategy, solution design and implementation. We follow a holistic approach, covering the entire data stream from sourcing to processing and insight generation, using cutting-edge tools as well as custom solutions. We are a fast growing high performance business, built on a solid and stable foundation. We are ahead of the curve in a rapidly expanding market, which makes this an exciting time to join us. We are looking for people who want to tackle new challenges, take ownership of their work and seize this opportunity to make a personal impact.

As a highly purpose-driven organization, we exempt 10% of our week from work and dedicate it to personal, non-work-related activities, aiming to fulfill our promise of personal development beyond the traditional scope of the classical business objective.

As a Data Engineer you will conceptualize and build infrastructure and code to set up state of the art data landscapes and work side by side with the founders on growing the company.

Tasks

  • Design and create data pipelines
  • Analyze and implement data storage solutions
  • Refine and orchestrate data warehouse systems
  • Develop and write scripts to access external data sources and ensure smooth imports into the database
  • Communicate with clients to understand their situation and needs
  • Perform in-depth analysis of infrastructure performance data

Stack

Whilst tooling is tailored to client needs, a frequent selection includes:

  • Data Pipelines: Python
  • Data Infrastructure: PostgreSQL, Google BigQuery
  • Data Transformation: SQL, dbt (data build tool)
  • Others: Google Cloud Platform, Kubernetes, Azure, Airflow and many more


Your Profile

  • Coding knowledge in SQL and Python
  • High motivation in deepening coding skills
  • Independent working mentality, proactive attitude, and an entrepreneurial mindset
  • Analytical skills and an affinity for digital business
  • Solid communication skills in English

Why Pandata?

    • Build a great company and grow with us
    • Take responsibility and have an impact from day one
    • Develop yourself personally and professionally in a highly purpose-driven work environment
    • Acquire a highly demanded skill-set and technical prowess by working on projects with various different data set-ups and tech stacks
    • Work with a highly motivated and smart team, in a professional but human-centered environment
    • Profit from intense direct mentorship in your first months
    • Enjoy breakfast, lunch, snacks, hot and cold drinks, Friday beers and a lot more (visit our office chef Josh on instagram)
    • Join our frequent team events and get-togethers
    • Profit from our strong company benefit program (Public transport or bike subscription, language classes, Urban Sports Club subsidization, purpose time)

    At Pandata we value smartness and motivation over job posting requirements.

    All applicants will be considered for all available roles.

    Top Skills

    Python
    SQL
    The Company
    Berlin
    25 Employees
    On-site Workplace
    Year Founded: 2015

    What We Do

    We are a team of data experts and a task force for individual data challenges.

    We boost marketing growth by developing tailored data solutions together with our clients. Our expertise is in building scalable systems to gather, process and utilise data with state-of-the-art technology and methodology. We develop solutions along the entire axis of the data value chain:

    - Design and implement stable web and mobile app analytics solutions
    - Data warehouse and data lake architectures
    - Data analysis and report-building
    - Enablement of data science and machine learning applications
    - Knowledge transfer and trainings

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