Azure Data Engineer - freelance

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

Job summary

Lingarogroup is seeking an Azure Data Engineer in Poland with Databricks expertise to design and implement scalable data pipelines and warehousing solutions.

You will work on Azure-based data processing, collaborate with data scientists and analysts, and contribute to delivering high-quality, efficient data solutions in an Agile environment.

Qualifications

• Azure Data Engineer with Databricks experience.
• Design and implement data pipelines, warehousing, and ETL workflows.
• Experience on Azure cloud and Databricks implementation.
• SQL and Python/PySpark proficiency.
• Strong communication and Agile experience.
• English at least B2 level (C1 preferred).

Responsibilities

• Design and implement data processing systems on Azure to transform large volumes of data.
• Build data pipelines ingesting data from databases, APIs, or streaming sources.
• Transform data to fit target models and formats.
• Design and optimize data storage (data lakes, data warehouses).
• Tune storage, partitioning, compression for performance.
• Identify bottlenecks and implement caching to speed access.
• Collaborate with data scientists, analysts, and stakeholders.
• Take ownership across the solution delivery process.
• Work in Agile environments with Jira and Azure DevOps.

Skills

Azure

Databricks

SQL

Python

PySpark

Agile

Jira

Azure DevOps

English

Tools

Jira

Azure DevOps

Job description

Growth through diversity, equity, and inclusion. As an ethical business, we do what is right — including ensuring equal opportunities and fostering a safe, respectful workplace for each of us. We believe diversity fuels both personal and business growth. We're committed to building an inclusive community where all our people thrive regardless of their backgrounds, identities, or other personal characteristics.

We are seeking Azure Data Engineers experienced with Databricks. Ideal candidates will have hands‑on experience in designing and implementing data pipelines, data warehousing solutions, and ETL workflows.

• Designing and implementing data processing systems on Azure platform. This involves writing efficient and scalable code to process, transform, and clean large volumes of structured and unstructured data.

• Building data pipelines to ingest data from various sources such as databases, APIs, or streaming platforms.

• Integrating and transforming data to ensure its compatibility with the target data model or format.

• Experience in designing and optimizing of data storage (data lakes, data warehouses, distributed file systems)

• Familiarity with partitioning, compression, optimization of data storage and retrieval.

• Identifying and resolving bottlenecks, tuning queries, and implementing caching strategies to enhance data retrieval speed and overall system efficiency.

• Collaborating with cross‑functional teams including data scientists, analysts, and business stakeholders to understand their requirements and provide technical solutions.

• Taking ownership and demonstrating responsibility throughout the solution delivery process, ensuring that all tasks are executed efficiently, effectively, and to the highest standard.

• Ability to work under Agile methodologies.

• Experience in Azure cloud-based infrastructure and Databricks implementation.

• Experience with SQL.

• Experience with Python, PySpark.

• Very good level of communication including ability to convey information clearly and specifically to co‑workers and business stakeholders.

• Working experience in Agile methodologies – supporting tools (JIRA, Azure DevOps).

• English at least at B2 level, ideally C1.

Nice to have:

• Experience or familiarity with other cloud technologies, data warehouses, data governance, and business analysis.

Missing one or two of these qualifications? We still want to hear from you! If you bring a positive mindset, we'll provide an environment where you feel valued and empowered to learn and grow.