Middle Data Engineer

at  Vention Group

67 Prosta St, 00-838. Warsaw, Poland

Key Responsibilities

• Prepare, clean, and transform data to support analytics, reporting, and data-driven decision-making
• Develop, optimize, and manage data pipelines for collecting, storing, transforming, and distributing data across systems
• Manage and integrate various databases, ensuring seamless access to structured and unstructured data
• Design, build, and maintain scalable data infrastructure and tools that facilitate data analysis and machine learning processes
• Work closely with cross-functional teams, including data scientists, analysts, and engineers, to deliver actionable insights and data solutions
• Perform initial analysis of data, generating reports, visualizations, and insights to inform business decisions and identify trends
• Engage in ongoing skills development and stay updated with the latest industry trends, tools, and technologies

Key Responsibilities

• Minimum 3 years as a Data Engineer or experience with relevant tools and technologies
• Proficiency in Google BigQuery or similar data platforms, with strong SQL and database expertise (SQL/NoSQL)
• Hands-on experience with cloud platforms (Azure, AWS, or GCP) and data migration
• Strong written, verbal communication, and presentation skills

Nice to have:

• Experience with programming languages (Python, Java, or Scala) and data processing tools (Apache Spark)
• Familiarity with BI tools (PowerBI, Tableau) and data modeling using dbt

About us
At Vention, we assemble senior-level, dedicated teams of developers to help fast-growing startups and innovative enterprises drive impact and achieve their goals. We’ve delivered solutions across multiple domains, including FinTech, PropTech, AdTech, HealthTech, e-commerce, and more.
Our Data team works with clients to create data platforms from scratch or modify and update existing platforms. The tech stack depends on the project, but we mainly use Spark (along with Scala, Python, or Java) – as well as Apache Kafka, Apache Cassandra, Apache Hadoop, Apache Parquet, and AWS.
Internal knowledge transfer activities are conducted within the Data Engineering Family (which includes data practice & data competency) – it is a space for all of our specialists to share their experiences, learn new skills, host meetups, mentor others, and more.
Benefits

Our culture is rooted in the belief that ongoing growth benefits employees and the company alike. Because of that, we offer:

• An individualized approach to career development, tailoring growth plans to every role
• Access to our technology mentorship program as a mentor or mentee
• The opportunity to contribute to up to 300 original projects in 30 different fields

And that’s not all! We also offer:

• Expanded medical support through Luxmed Complex
• Сonferences & meetups, organized by our company
• Corporate getaway & teambuilding activities
• Polish courses
• Pizza days, office gatherings, and more from our Employee Happiness team
• Access to credits to spend across a variety of stores, restaurants & cafes through Kafeteria My Benefit
• And referral bonuses

Engineer your success!

Key Responsibilities

• Prepare, clean, and transform data to support analytics, reporting, and data-driven decision-making
• Develop, optimize, and manage data pipelines for collecting, storing, transforming, and distributing data across systems
• Manage and integrate various databases, ensuring seamless access to structured and unstructured data
• Design, build, and maintain scalable data infrastructure and tools that facilitate data analysis and machine learning processes
• Work closely with cross-functional teams, including data scientists, analysts, and engineers, to deliver actionable insights and data solutions
• Perform initial analysis of data, generating reports, visualizations, and insights to inform business decisions and identify trends
• Engage in ongoing skills development and stay updated with the latest industry trends, tools, and technologie

Key Responsibilities

• Minimum 3 years as a Data Engineer or experience with relevant tools and technologies
• Proficiency in Google BigQuery or similar data platforms, with strong SQL and database expertise (SQL/NoSQL)
• Hands-on experience with cloud platforms (Azure, AWS, or GCP) and data migration
• Strong written, verbal communication, and presentation skill