Data Engineer with Databricks

Sii Poland; Szczecin; On-site; PLN 180,000 - 240,000; Full time

Job summary

A leading biotech firm in Poland is seeking a seasoned Data Engineer to build and optimize analytics pipelines using Python or Scala. You'll collaborate with data scientists and engineers to create innovative data systems on Microsoft Azure, leveraging technologies like Hadoop and Spark. The ideal candidate will have senior-level experience in data engineering, a strong command of coding skills, and proficiency in English and Polish. Join this transformative biotech project and shape the future of biotechnology.

Benefits

Great Place to Work

Solid financial situation

Contracts with major brands

Internal training center

Expert mentorship

Open management

Profit sharing

Passion Sponsorship program

Integration events

Comfortable offices

Medical care

Qualifications

• Senior-level experience in data engineering, specifically in building analytics pipelines.
• Strong proficiency in Python or Scala, with hands-on SQL experience.
• Familiarity with big data technologies such as Hadoop, Hive, or Spark.
• Solid understanding of data modeling and security best practices.
• Experience with Azure technologies, including Azure Databricks and Azure Data Factory.
• Proficiency in English at B2 level or higher.
• Fluent Polish and residency in Poland required.

Responsibilities

• Build and optimize advanced analytics data pipelines using Python or Scala.
• Implement scalable solutions with big data technologies like Hadoop or Spark.
• Design secure, high-performance data architectures on Microsoft Azure.
• Collaborate with teams to develop proof-of-concept solutions and innovative applications.

Skills

Python

Scala

SQL

Hadoop

Hive

Spark

Azure

Data modeling

Data security

Tools

Azure Databricks

Azure Data Factory

Azure Storage

Azure Stream Analytics

SQL Server

Azure Key Vault

Azure Functions

GitHub

Azure DevOps

Job description

Be part of a cutting‑edge biotech project that combines advanced data engineering with real‑world impact. You will work on creating scalable data systems and infrastructure that support groundbreaking molecular biology research. Partnering with a global leader in biotechnology, you will deliver advanced data analytics and AI‑driven solutions that help transform the field.

No prior experience in the biotech domain? No problem! You will quickly get up to speed with the industry‑specific knowledge needed to succeed. Apply now and join the journey to shape the future of biotechnology!

Sii ensures that all employment‑related decisions are made solely on the basis of qualifications, competencies, and performance. We are committed to equal treatment of all individuals, regardless of any protected characteristics, and promote a diverse and inclusive work environment.

Your tasks

• Building and optimizing advanced analytics data pipelines using Python or Scala, ensuring efficient data ingestion and processing
• Implementing scalable solutions with big data technologies such as Hadoop, Hive, or Spark to manage and analyze large datasets
• Designing secure, high‑performance data architectures on the Microsoft Azure platform, utilizing services like Azure Databricks, Azure Data Factory, Azure Storage, and Azure Stream Analytics to build efficient data workflows
• Applying best practices in data modelling, security, and provisioning across all layers of the data architecture, including Azure Key Vault, SQL Server, and Azure Functions for secure and optimized data handling
• Collaborating with data scientists, engineers, and domain experts to develop proof‑of‑concept solutions and innovative AI‑driven applications, integrating tools like Azure DevOps and GitHub for efficient project management and version control

Requirements

• Senior‑level experience in data engineering, with expertise in building advanced analytics pipelines
• Strong coding skills in Python or Scala, and hands‑on experience with SQL
• Familiarity with big data technologies such as Hadoop, Hive, or Spark
• Solid understanding of data modelling, security best practices, and provisioning concepts
• Hands‑on experience with a range of Azure technologies, including but not limited to: Azure Databricks & Unity Catalog, Azure Data Factory, IoT Hub, Azure DevOps, Azure Key Vault, Azure Functions, SQL Server, and Azure Cybersecurity and Networking configurations
• Proficiency in English at a B2 level or higher
• Fluent Polish required
• Residing in Poland required

Job no. 260112-ELVNJ

Benefits For You

• Great Place to Work
• Solid financial situation
• Contracts with the biggest brands
• Centre of internal trainings
• Many experts you can learn from
• Open and accessible management team
• Profit sharing
• Passion Sponsorship program
• Regular integration events and trips
• Comfortable and well‑equipped offices
• MySii app
• Medical care