Databricks Data Engineer
Offer summary

(Summary generated by AI based on the full job description)

The project involves building and maintaining modern data platforms for Financial Services and Investment Banking clients. Key technologies include Databricks (Delta Lake, DLT), Python, SQL, PySpark, Azure (ADLS, Data Factory, Synapse) and Data Lakehouse architecture. Responsibilities focus on designing and optimizing ETL/ELT pipelines, integrating data from multiple sources, batch and streaming ingestion, ensuring data quality and compliance. The role requires collaboration with analysts and platform teams and production environment support.

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Databricks Data Engineer

Company: Cyclad

from: 16 July 2026
to: 15 August 2026
120 - 130net (+ VAT)/ hr.B2B contract (full-time)
Salary details
basic salary
Offer parameters
level:mid
working mode:hybrid
location:Wrocław, Lower Silesia
Wrocław, Lower Silesia

Requirements

Expected technologies

Python
SQL
PySpark
Git
Databricks
Microsoft Azure
Azure Data Factory
Azure DevOps

Optional technologies

Kafka
Microsoft Power BI
Tableau

Our requirements

  • 5-6 YoE in Data Engineering with Databricks
  • Very strong Python, SQL, PySpark programming skills
  • Data Platforms: Databricks (Delta Lake, DLT), cloud data lakes / lakehouse architectures
  • Experience with Azure (ADLS, Data Factory, Synapse), or equivalent cloud services
  • Knowledge of Medallion architecture, dimensional models, Data Vault (nice to have)
  • REST APIs, batch and streaming ingestion
  • Git, CI/CD pipelines, Azure DevOps or similar
  • Strong understanding of data quality, performance tuning, and scalability
  • Exposure to banking, risk, regulatory reporting, or analytics platforms
  • Experience supporting data‑intensive applications used for decision‑making and compliance
  • Very good English skills

Optional

  • Streaming technologies (Kafka, Event Hub)
  • Experience with Power BI / Tableau for data consumption
  • Azure or Databricks certifications

Your responsibilities

  • Design, develop, and maintain ETL/ELT data pipelines for structured and semi‑structured data
  • Build and optimize data lakehouse solutions supporting analytics, reporting, and regulatory needs
  • Implement data ingestion from multiple sources (databases, APIs, files, messaging/ event streams)
  • Perform data transformation, validation, and quality checks across end‑to‑end data flows
  • Collaborate with Business Analysts and stakeholders to translate requirements into data solutions
  • Support production environments, handle incident analysis, and contribute to performance optimization
  • Ensure compliance with data governance, security, and regulatory standards

About the project

In Cyclad we work with top international IT companies in order to boost their potential in delivering outstanding, cutting-edge technologies that shape the world of the future. We are seeking a skilled Data Engineer to join a high‑performing team delivering modern data platforms and data‑driven solutions for Financial Services and Investment Banking clients. The role focuses on building, integrating, and operating scalable data pipelines supporting analytics, risk, regulatory, and reporting use cases. The Data Engineer will work closely with Business Analysts, Architects, QA, and Platform teams to ensure high‑quality, secure, and performant data solutions across cloud‑based environments.
Type of project: IT Services
Office location: Wrocław/ Poznań
Work model: Hybrid mode – 2 days per week in the office in Wrocław or Poznań
Budget: 120 - 130 PLN net/ h - b2b
Project length: till the end of 2026, possible to extend it
Only candidates with citizenship in the European Union and residence in Poland
Start date: ASAP

This is how we organize our work

This is how we work

at the client's siteyou focus on a single project at a timeyou develop several projects simultaneouslyyou have influence on the technological solutions appliedagilescrum

This is how we work on a project

  • Continuous Deployment
  • Continuous Integration
Company

What we offer

  • Remote working model
  • Dynamic and innovation-driven engineering environment
  • Full-time job agreement based on b2b
  • Private medical care with dental care (covering 70% of costs)
  • Multisport card (also for an accompanying person)
  • Life insurance

Development opportunities we offer

  • intracompany training
  • mentoring
  • substantive support from technological leaders
  • technical knowledge exchange within the company

Benefits

  • sharing the costs of sports activities
  • private medical care
  • life insurance
  • remote work opportunities
  • flexible working time
  • integration events
  • dental care
  • no dress code

Recruitment stages

  • 1.
    Introductory call
  • 2.
    Technical interview
  • 3.
    Final decision

Cyclad

In Cyclad we work with top international IT companies in order to boost their potential in delivering outstanding, cutting edge technologies that shape the world of the future.

This is how we work

Databricks Data Engineer
120–130 zł / hr. (B2B)
I apply to:
Cyclad
Wrocław, Lower Silesia
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