Data Engineer (Azure Databricks) at Miratech

Warsaw, Masovian Voivodeship, Poland -

Full Time

Start Date

Immediate

Expiry Date

17 Jun, 26

Salary

0.0

Posted On

19 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Azure Databricks, Spark, Azure Data Factory, PySpark, SQL, Delta Lake, Lakehouse Architectures, ETL/ELT, Data Modeling, SQL Server, Power BI, SSIS, Cloud Architectures, Data Quality, Performance Optimization, CI/CD

Industry

IT Services and IT Consulting

Description

Company 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 Mid-Senior Data Engineer specialized in Azure Databricks to join our data platform team. The candidate will design and develop modern data pipelines and Lakehouse architectures, leveraging Azure Databricks, Spark, and Azure Data Factory, while integrating with existing SQL Server-based data warehouse environments, also evolving our data platform towards scalable, cloud-based data architectures, enabling advanced analytics and business intelligence. Key responsibilities: Design, develop, and maintain data pipelines using Azure Databricks Build and optimize data transformations using PySpark and SQL in Databricks Implement and maintain Lakehouse architectures using Delta Lake Develop ETL/ELT pipelines orchestrated through Azure Data Factory Integrate data from multiple sources into the data platform and analytical layers Design and 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 Support and evolve existing SQL Server data platforms and ETL solutions (SSIS) when required Contribute to the design of modern cloud-based data architectures Qualifications 3+ years of experience in Data Engineering or Data Warehouse development Strong experience with Azure Databricks Experience developing data pipelines using PySpark and Spark SQL Solid understanding of distributed data processing and big data concepts Experience working with Delta Lake and Lakehouse architectures Strong SQL skills and experience with SQL Server relational databases Experience building data pipelines using Azure Data Factory Experience handling large datasets and performance optimization Nice to have Experience with Spark optimization techniques (partitioning, caching, cluster tuning) Experience with structured streaming in Databricks Knowledge of CI/CD pipelines for data platforms (Azure Devops) Familiarity with Power BI Experience in migrating from traditional ETL process to cloud architectures Soft Skills Strong analytical and problem-solving skills. Ability to work in collaborative environments and to adapt Committed to continuous learning and professional development, with a keen focus on advancing cloud computing expertise Team player Good communication skills with technical and non-technical roles Is proactive rather than reactive, actively identifying improvements and proposing solutions Is comfortable working in dynamic environments where priorities and technologies evolve 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, and a relocation program. Work From Anywhere 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 our sustainable business practices focused 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.

Responsibilities

The role involves designing, developing, and maintaining modern data pipelines and Lakehouse architectures primarily using Azure Databricks, Spark, and Azure Data Factory. Key tasks include optimizing data transformations, implementing Delta Lake structures, and integrating data from various sources into the analytical platform.