Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Miratech

Middle Data Engineer, Azure Databricks

Miratech

Middle Data Engineer specialized in Azure Databricks for global IT services company. Designing and developing data pipelines and Lakehouse architectures using Azure technologies.

Posted 6/13/2026full-timeRemote • 🇪🇸 SpainMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
AzureCloudETLPySparkSparkSQLSSIS

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • 3+ years of experience in Data Engineering or Data Warehouse development
  • 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

Benefits

Comp & perks
  • 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.

ATS Keywords

✓ Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data pipelinesPySparkSQLDelta LakeETLELTdata modelingdata warehousingbig data conceptsSpark SQL