Senior Databricks Data Engineer

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AI Summary

Design, develop, and maintain scalable data pipelines using Databricks, Python, SQL, and DBT. Collaborate with stakeholders to deliver high-quality data solutions and optimize Spark workloads. Requires 6-8 years of experience and hybrid work arrangement.

Key Highlights
12-month contract with extension possibility
Hybrid: 2 days WFH, 3 days WFO
Databricks, Python, SQL, DBT expertise
Visa sponsorship available
Competitive gross salary
Key Responsibilities
Design, develop, and maintain scalable data pipelines using Databricks
Build and optimize ETL/ELT processes to support business reporting and analytics requirements
Develop and maintain data transformation models using DBT
Write complex and optimized SQL queries for data extraction, transformation, and analysis
Work closely with data architects, analysts, and business stakeholders to understand data requirements
Participate in code reviews and ensure adherence to development standards
Support production deployments, issue resolution, and continuous improvement initiatives
Technical Skills Required
Databricks Python SQL DBT (Data Build Tool) Spark
Benefits & Perks
20 days of holiday per year
Certification reimbursement
Income Tax Return Filing
Visa Sponsorship for Candidate & Dependants
Possibility of bonus

Job Description


Contract: 12 months (subject to extension).

Location: Amsterdam, Netherlands.

Salary: Not a constraint for the right candidate!

Experience: 6-8 years.

Hybrid: 2 days Work from Home 3 days Work from Office


Your Profile & DNA:

We are seeking a highly skilled Databricks Data Engineer with strong expertise in Databricks, Python, SQL, and DBT (Data Build Tool) to design, develop, and maintain scalable data pipelines and modern data platform solutions. The ideal candidate will have hands-on experience working with large-scale datasets, data transformation frameworks, and cloud-based analytics environments.

The role involves building reliable data pipelines, optimizing data models, implementing data transformation processes, and collaborating with business and technical stakeholders to deliver high-quality data solutions.


Roles & Responsibilities

Data Engineering & Pipeline Development

  • Design, develop, and maintain scalable data pipelines using Databricks.
  • Build and optimize ETL/ELT processes to support business reporting and analytics requirements.
  • Develop efficient data ingestion, transformation, and processing workflows.
  • Ensure data quality, consistency, and reliability across data platforms.

Databricks Development

  • Develop and maintain notebooks, workflows, and jobs in Databricks.
  • Leverage Databricks capabilities for large-scale data processing and analytics.
  • Optimize Spark workloads and improve performance of data processing jobs.
  • Support deployment and operational management of Databricks solutions.

Data Transformation & Modeling

  • Develop and maintain data transformation models using DBT.
  • Implement data modeling best practices to support reporting and analytics needs.
  • Create reusable, scalable, and maintainable data transformation frameworks.
  • Manage dependencies, testing, and documentation within DBT projects.

Programming & Database Development

  • Develop robust data processing solutions using Python.
  • Write complex and optimized SQL queries for data extraction, transformation, and analysis.
  • Perform data validation, troubleshooting, and performance tuning.
  • Support database optimization and query performance improvements.

Collaboration & Support

  • Work closely with data architects, analysts, and business stakeholders to understand data requirements.
  • Participate in code reviews and ensure adherence to development standards.
  • Support production deployments, issue resolution, and continuous improvement initiatives.
  • Collaborate within Agile teams to deliver data engineering solutions.

Documentation & Governance

  • Create and maintain technical documentation for pipelines, data models, and workflows.
  • Implement data quality checks, monitoring, and governance best practices.
  • Ensure compliance with organizational data management standards.


Qualification & Experience

  • A Bachelor's or Master's Degree or equivalent.
  • Strong hands-on experience with Databricks development and administration.
  • Expertise in Python-based data engineering solutions.
  • Advanced SQL development and optimization skills.
  • Experience designing and implementing DBT models and transformations.
  • Strong analytical and problem-solving capabilities.
  • Excellent communication and stakeholder management skills.
  • Ability to work independently and collaboratively in Agile environments.

Data Engineering Platforms

  • Databricks

Programming Languages

  • Python

Database Technologies

  • SQL

Data Transformation

  • DBT (Data Build Tool)


What do we offer?

If your profile matches the job requirement and you are interested to be presented to our clients, then please apply and don’t forget to attach your updated CV in line with the JD!

This position is for 1 year with possibility of extension. We offer competitive Gross Salary in line with the market standard.

Besides that, we offer following benefits, such as:

  • 20 days of holiday per year
  • Encourage Personal Development - Certification (Certification Charges reimbursed)
  • Income Tax Return Filing
  • We provide Visa Sponsorship for Candidate & Dependants
  • Possibility of bonus


Who we are:

A2G Consulting also known as "A2G Technologies" is one of the fastest growing staffing companies in North Brabant region, Netherlands. We cater to Asia and Europe market focusing on high tech & non-high-tech clientele; headquartered in Eindhoven, Netherlands with a branch office in India (Bangalore & Pune) & Dubai. We successfully find a candidate and ensure that they get opportunities in line with their aspirations. We offer visa sponsorship for local & international candidates for career-enhancing opportunities. We strongly believe in equal opportunities and hence have a pool of resources with diversified ethnicity.

You will be deployed and work at one of our client sites.


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