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Senior Data Engineer

Ciklum • Poland
Remote
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AI Summary

Design, develop, and deploy data solutions for the Service Delivery Transformation project, optimizing data models and performance across multiple storage systems. Build and maintain data ingestion, transformation, and analytics pipelines using Apache Spark, Python, and Delta Lake. Contribute to unit testing, cross-training, and platform improvements while participating in community and conference activities.

Key Highlights
Apache Spark and Databricks expertise
Python with PySpark and Pandas
Delta Lake and columnar storage (Parquet)
ETL and real-time data processing
Performance tuning and SQL/DAX optimization
Key Responsibilities
Design, develop, and deploy solutions with advanced data analytics and dashboards
Design and implement data models for optimized query speed and performance
Manage data ingestion, real-time processing, batch processing, and ETL across multiple data storages
Perform performance tuning of complex SQL and DAX queries
Identify gaps and improve platform quality, robustness, maintainability, and speed
Cross-train team members on developed technologies and learn from others
Contribute to unit activities and community building, participate in conferences, and share best practices
Technical Skills Required
Apache Spark Python Delta Lake
Benefits & Perks
company-paid premium medical package
MyBenefit cafeteria platform
full remote working possibilities

Job Description


Job Description

Ciklum is looking for a Senior Data Engineer to join our team full-time in Poland.

We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.

About The Role

As a Senior Data Engineer, become a part of a cross-functional development team engineering experiences of tomorrow.

The Service Delivery Transformation (SDT) Project seeks to evaluate existing technology across the tax lifecycle and determine the best future state for that technology. This will include decomposing existing assets to determine functionality, assessment of those functionalities to determine the appropriate end-state and building of new technologies to replace that functionality. The goal of the SDT project is to create an integrated enterprise perspective for the deployment of new technologies throughout the project duration.

The assessment of SDT assets will be arranged by process in the Horizontal Tax Lifecycle including Initiate, Manage and Close; Collect Data; Calculate Taxable Income; Allocations; Print K1s; Focused Experience; Extract; Prep Return and Reviews; Close; and Core.

Responsibilities

  • Designing, developing, and deploying solutions, providing advanced data analytics, and creating dashboards and reports that deliver key insights to the business
  • Data models design and implementation
  • Optimize reports and dashboards for better performance by improving query speed and ensuring efficient data model design
  • Contributes design, code, configurations, manage data ingestion, close to real-time processing, batch processing, ETL across multiple data storages
  • Responsible for performance tuning of complicated SQL and DAX queries
  • Identify gaps and improve the platform’s quality, robustness, maintainability, and speed
  • Cross-train other team members on technologies being developed, while also continuously learning new technologies from other team members
  • Contribute in the Unit’s activities and community building, participate in conferences, and provide excellence in exercise and best practices

Requirements

  • 5+ years of hands-on software development experience
  • Strong expertise in Apache Spark, including delivery on Databricks
  • Proficient in Python with advanced data engineering skills using PySpark, Pandas, and related libraries
  • Experience developing and maintaining unit tests for Databricks workloads
  • Solid understanding of columnar storage (e.g., Parquet) and hands-on experience with Delta Lake / Delta Tables
  • Proven ability to handle small to large data volumes, including performance tuning and optimizations
  • Familiarity with Databricks DevOps practices (nice to have)
  • Demonstrated ability to build data ingestion, transformation, and analytics pipelines
  • Strong analytical and problem-solving skills with close attention to detail

What`s in it for you?

  • Strong community: Work alongside top professionals in a friendly, open-door environment
  • Growth focus: Take on large-scale projects with a global impact and expand your expertise
  • Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications
  • Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies
  • Flexibility: Enjoy flexibility – full remote working possibilities
  • Care: We've got you covered with company-paid premium medical package through Luxmed
  • Benefits: Access the MyBenefit cafeteria platform, allowing you to choose perks that best suit your lifestyle and needs

About Us

At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you’ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress.

With delivery centers in Wrocław and Gdańsk, our 300+ professionals in Poland drive forward-thinking solutions for global clients. Join a community where collaboration sparks innovation—and your impact reaches millions.

Explore, empower, engineer with Ciklum!

Interested already? We would love to get to know you! Submit your application. We can’t wait to see you at Ciklum.


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