Senior Data Engineer (Databricks)

Location: Remote

Salary: 140–180 PLN/hour

Company

hirify.global engineers large-scale Big Data and cloud-native platforms for global clients, including retail organizations and Fortune 500 companies.

What you will do

• Design and implement scalable, production-grade data pipelines, data models, and distributed processing frameworks.
• Lead the technical design of cloud data architectures and contribute to platform standards and long-term strategy.
• Improve data quality, lineage, observability, testing, automation, documentation, performance, cost efficiency, and reliability.
• Work with CI/CD pipelines, infrastructure as code, and DataOps automation to streamline deployments and operations.
• Collaborate with clients and senior stakeholders to define requirements, propose solutions, and communicate technical decisions.
• Mentor mid-level engineers and integrate data solutions with BI, ML, and application layers.

Requirements

• 4+ years of experience as a Data Engineer or in a closely related engineering role.
• 2+ years of experience with cloud platforms; Azure is the primary platform, while AWS and GCP experience is also valued.
• Strong Python skills and advanced SQL proficiency, including experience with relational databases such as SQL Server and PostgreSQL.
• Expertise in data warehouse modeling, ETL/ELT architectures, and modern data design patterns, preferably Lakehouse.
• Understanding of cloud architecture, networking, security, APIs, scalable systems, and large-scale datasets.
• Ability to work autonomously, take ownership, and drive initiatives in evolving cloud projects.

Nice to have

• Experience with Databricks, Apache Spark, or PySpark.
• Knowledge of Apache Airflow or other orchestration tools.
• Experience with Azure DevOps or GitHub Actions for CI/CD.
• Familiarity with Terraform or Bicep for infrastructure as code.
• Exposure to AI/ML pipelines or MLOps environments.

Culture & Benefits

• Long-term collaboration through a B2B contract.
• Remote-first work with flexible hours.
• Access to e-learning platforms and a professional development budget.
• Opportunities to own solutions, lead initiatives, and grow into broader roles.
• Flat, open, supportive, and collaborative environment with integration trips and team budgets.