DATAPAO Kft. logó

Senior Data Engineer (Databricks) - UK

Állás részletei

  • Cég neve

    DATAPAO Kft.

  • Munkavégzés helye

    Hibrid
  • Egyéb juttatások

    • Egészségbiztosítás
  • Munkaidő, foglalkoztatás jellege

    • Alkalmazotti jogviszony
    • Általános munkarend
  • Elvárt technológiák

    • BI ACCESS AWS AZURE SQL PYTHON CLOUD TABLEAU POWER BI
  • Biztosított eszközök

    • Laptop
    • MacOS
  • Elvárások

    • Angol középfok
    • 5-10 év tapasztalat
    • Középiskola
Állás elmentve
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Állás leírása

Responsibilities

  • Delivery of complex data engineering projects individually or by leading small delivery teams
  • Management of customer relationships alone or in collaboration with a Project Manager
  • Support of pre-sales process
  • Mentoring of more junior engineers
  • Contribution to hiring best-in-class data talent

Requirements

  • 5+ years of experience in data engineering with focus on cloud platforms (AWS, Azure, GCP)
  • Proven track record working with Databricks (PySpark, SQL, Delta Lake, Unity Catalog)
  • Extensive experience in ETL/ELT development and data pipeline orchestration (e.g., Databricks Workflows, DLT, Airflow, ADF, Glue, Step Functions)
  • Proficiency in SQL and Python for data transformation and optimization
  • Knowledge of CI/CD pipelines and Infrastructure as Code (Terraform, CloudFormation, or Bicep)
  • Hands-on experience integrating Databricks with BI tools (Power BI, Tableau, Looker)
  • Proven history in consulting including scoping, requirements gathering, solution design, and stakeholder communication
  • Successful delivery of projects like Data Lakehouse buildouts and cloud data migrations
  • Ability to explain technical concepts to non-technical audiences and drive decision-making
  • Operational readiness to contribute immediately to live client projects
  • Flexibility and problem-solving skills in a fast-paced consulting environment
  • Resilience and ability to thrive on challenges
  • Strong communication skills in writing, speaking, and collaboration with stakeholders

What we offer

  • Remote work opportunity with expectation of one month onboarding in Budapest hub and quarterly office visits
  • Access to world-class educational benefits including Databricks public and internal courses
  • Payment for various data and cloud certifications
  • Dedicated learning time during work hours
  • Access to internal library
  • Flexible PTO days
  • 4 weeks of paternity leave
  • Employee Assistance Program (EAP) offering psychology, financial, and legal consulting services
  • Pension scheme enrollment and comprehensive private health insurance plan via Employer of Record provider Remote.com
  • Provision of MacBook Pro and 500 GBP gross sign-up bonus for home office setup
  • Opportunity to impact growth trajectory and organizational success
  • Chance to spearhead regional expansion
  • High-transparency culture with open feedback and no politics
  • Work in the field of data and AI in a rapidly growing tech company
  • Gross salary range from 70,000 to 100,000 GBP/year depending on seniority level

Company info

DATAPAO is a leading Data Engineering and AI consulting company backed by Databricks and recognized for unmatched delivery standards and rapid growth. DATAPAO has been named Databricks EMEA Emerging Business Partner of the Year (2024), achieved the Golden Tier status in the Databricks Partner Program, and made three consecutive appearances on the Financial Times FT1000 list. DATAPAO covers the entire data transformation from architecture to implementation, provides data and AI training and enablement, and acts as a delivery partner and training provider for Databricks in Europe. DATAPAO is also a Microsoft Gold Partner in delivering cloud migration and data architecture on Azure. The company works in a wide range of industries and with prominent global companies such as Norsk-Hydro, Richter, Bayer, Schufa, GetYourGuide, TechnoAlpin, and Logically. As a training provider, DATAPAO delivers onsite and online courses globally for Databricks and independently, teaching professionals at Apple, Amazon, Uber, Microsoft, T-Mobile, GE, Ericsson, and more.

How to apply

You can submit your application on the company's website, which you can access by clicking the „Apply on company page“ button.

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