Azure Data Engineer - freelance

Lingaro; Polska; On-site; PLN 180,000 - 300,000; Full time

Job summary

Lever, Inc. in Poland is seeking an Azure Data Engineer with Databricks to design and implement scalable data pipelines on Azure, including data warehousing and ETL.

You will collaborate with data scientists and analysts, optimize storage, and ensure robust performance. Strong English required; experience with Agile practices is preferred.

Qualifications

• Experience with Azure cloud-based infrastructure and Databricks implementation.
• Experience with SQL and data modeling.

Responsibilities

• Design and implement data processing systems on Azure platform with scalable code for large data volumes.
• Build data pipelines ingesting data from databases, APIs, or streaming sources.
• Transform and integrate data to fit target models; optimize storage and retrieval.
• Collaborate with data scientists, analysts, and stakeholders to meet requirements.
• Take ownership of delivery, ensuring high standards and timely results.
• Work within Agile methodologies using Jira or Azure DevOps.

Skills

Azure cloud

Databricks

SQL

Python

PySpark

Agile methodologies

Communication

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.

Tasks

• 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.

Requirements

• 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.