Senior Data Engineer (Azure, Databricks, dbt)

the company is a data-focused technology and consulting company, part of the Nexer Group. Our mission is simple: We make companies Data Driven.

We build data platforms and data-intensive systems that solve real business problems. We work end-to-end, from integrating data from multiple sources (including IoT and operational systems), through building scalable data pipelines and semantic layers, to delivering analytics and AI solutions used in production.

Our projects often combine data engineering, cloud, and software development. We don’t just process data - we also build systems that generate it, such as IoT and digital platforms, which later become part of the data ecosystem. You’ll work on real use cases – optimizing processes, enabling better decisions, and building data products used by business teams. We focus on clean architecture, modern tech stacks, and ownership of what we build.

At the company we value strong engineering skills, autonomy, and collaboration. We keep a flat structure, small teams, and a lot of responsibility on the engineer level.

Check us out!👇 

https://holisticon.pl/holisticon-insight/ 

We offer a B2B contract  

• 150 – 180 PLN net/hour + VAT 

🚀 We are looking for a Senior Data Engineer with Databricks experience to join our client's project in the debt collection industry. In this role, you will work at the forefront of data engineering technology, collaborating closely with customers to create high impact, data driven solutions

 In this role you will:

• Develop and operate scalable, robust analytical models and modern data pipelines.

• Design and build data platforms, data models, and ETL/ELT workflows.

• Innovate with customers to identify new opportunities and drive data driven value.

• Champion best practices in architecture, data quality, reliability, and performance.

• Leverage Microsoft Azure services for data processing, transformation, orchestration, and storage.

• Construct top tier cloud solutions that enable customers to adopt a modern data driven approach.

• Support migrations from on premises to cloud and hybrid integrations.

• Act as a technical advisor, problem solver, and trusted partner to business stakeholders

You might be the perfect match if you possess the following competencies:

• 4+ years of experience as Data Engineer

• Strong expertise in Databricks Lakehouse, including Delta Lake, Apache Spark, and MLflow.

• Hands on experience with Azure services in modern data platforms.

• Practical knowledge of Azure DevOps, Git-based workflows, and CI/CD processes.

• Experience with ETL/ELT tools such as Azure Data Factory, Databricks

• Experience with Data Lakes or Lakehouse architectures.

• Strong SQL skills and solid grounding in information and dimensional modelling.

• Experience with data governance management and working in regulated environments; finance or FS&I is a plus.

•  Background in hybrid data environments and on premises integrations.

•  Experience with platform migrations is a strong advantage.

• Python programming skills are a strong plus, especially for data engineering and analytics workflows.

•  Ability to communicate clearly with both technical and business stakeholders.

• Excellent English communication skills

By joining the company you will get:

• Life insurance

• Multisport card

• Fully remote job

• Private medical care

• Flexible working hours

• B2B or contract of employment

• Amazing integration events on a regular basis

• Training budget (e.g. Microsoft Azure Certifications)

• Opportunity to impact our company culture build-up

• Work equipment (laptop, 2 monitors, and accessories)

Our recruitment process consists of the following steps:

• Initial interview with Julia, our recruiter - 30 minutes

• Technical interview with one of our technical interviewers - 60 minutes

• Final decision