Junior Data Engineer (Azure Databricks)

Miratech; Warszawa; On-site; PLN 60,000 - 90,000; Full time

Benefits offered by this job

Health insurance

Language courses

Relocation program

Remote work culture

Job summary

Miratech is seeking a Junior Data Engineer specialized in Azure Databricks to join our data platform team. You will develop and support modern data pipelines and Lakehouse architectures using Azure Databricks, Spark, and Azure Data Factory, integrating with SQL Server-based data warehouses to empower analytics.

You will evolve ETL/ELT processes, optimize transformations with PySpark/SQL, and collaborate with BI teams on Power BI solutions, while learning within a cloud-native data ecosystem.

Qualifications

• 2+ years of experience in Data Engineering or related field.
• Experience with Azure Databricks and Spark-based pipelines.
• Strong SQL skills and experience with SQL Server.

Responsibilities

• Support and evolve existing SQL Server data platforms and ETL solutions.
• Build and optimize data transformations using PySpark and SQL in Databricks.
• Develop ETL/ELT pipelines orchestrated through Azure Data Factory.
• Integrate data from multiple sources into the data platform and analytics layers.
• Maintain data models and data warehouse structures for analytics.
• Ensure data quality, scalability and performance of large-scale pipelines.
• Collaborate with BI teams to support Power BI and reporting.

Skills

Azure Databricks

PySpark

Spark SQL

SQL Server

Big data concepts

SQL

Tools

Azure Data Factory

Databricks

Power BI

Job description

Miratech helps visionaries change the world. We are a global IT services and consulting company that brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we stay at the leading edge of technology, remain nimble even as a global leader, and create technology that helps our clients further enhance their business. We are a values-driven organization and our culture of Relentless Performance has enabled over 99% of Miratech's engagements to succeed by meeting or exceeding our scope, schedule, and/or budget objectives since our inception in 1989.
Miratech has coverage across 5 continents and operates in over 25 countries around the world. Miratech retains nearly 1000 full-time professionals, and our annual growth rate exceeds 25%.

Job Description

We are looking for a Junior Data Engineer specialized in Azure Databricks to join our data platform team.

The candidate will develop and support modern data pipelines and Lakehouse architectures, leveraging Azure Databricks, Spark, and Azure Data Factory, while integrating with existing SQL Server-based data warehouse environments. The role offers an opportunity to learn and grow within a modern cloud data ecosystem while contributing to analytics and business intelligence initiatives.

Key responsibilities:

• Support and evolve existing SQL Server data platforms and ETL solutions
• Build and optimize data transformations using PySpark and SQL in Databricks
• Develop ETL/ELT pipelines orchestrated through Azure Data Factory
• Integrate data from multiple sources into the data platform and analytical layers
• Maintain data models and data warehouse structures for analytics
• Ensure data quality, scalability, and performance of large-scale data processing pipelines
• Collaborate with BI teams to support Power BI and reporting platforms
• Participate in the implementation of modern cloud-based data architectures under guidance from senior team members

Qualifications

• 2+ years of experience in Data Engineering, Data Warehouse development, or a related field
• Experience with Azure Databricks
• Experience developing data pipelines using PySpark and Spark SQL
• Understanding of distributed data processing and big data concepts
• Good SQL skills and experience with SQL Server relational databases
• Exposure to data processing and performance optimization concepts

Nice to have

• Knowledge of Spark optimization techniques (partitioning, caching, cluster tuning)
• Familiarity with Power BI and Databricks Structured Streaming
• Experience in migrating from traditional ETL process to cloud architectures
• Familiarity with Delta Lake and Lakehouse architectures

Soft Skills

• Strong analytical and problem-solving skills
• Good communication and collaboration skills
• Team player with a proactive mindset
• Eager to learn and continuously develop technical expertise
• Adaptable and comfortable working in dynamic environments

Additional Information

We offer:

• Culture of relentless performance: join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth.
• Competitive pay and benefits: enjoy a comprehensive compensation and benefits package, including health insurance, language courses, and a relocation program.
• ForeverRemote work culture: make the most of the flexibility that comes with remote work.
• Growth mindset: reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities.
• Global impact: collaborate on impactful projects for top global clients and shape the future of industries.
• Welcoming multicultural environment: be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events.
• Social sustainability values: join oursustainable business practicesfocused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality.

Miratech is an equal opportunity employer and does not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under applicable law.