Join Acropolium – Where People Matter, and Ideas Grow!<\/p>\n
Acropolium is an international software development and tech consulting company with over 22 years of experience in delivering scalable, human-centric digital solutions. We partner with clients across 20+ industries – from bold startups to established unicorns – helping them grow, adapt, and thrive.
With ISO 9001 certification and 450+ successful applications behind us, we combine deep technical expertise with a people-first culture. Our core team is in it for the long run – over 60% have been with us for more than 10 years – and we're growing fast.<\/p>\n
About the Role
We are looking for a Senior Data Engineer to join a long-term project.
You'll work on designing and developing scalable data solutions using modern Databricks and Azure technologies, combining hands-on engineering with architectural responsibilities.<\/p>\n
Key Responsibilities
Design and evolve scalable data architectures based on Data Lakehouse principles.
Define technical solutions and architectural approaches for data processing, integration, and storage.
Design, develop, and optimize data pipelines using Databricks, Apache Spark, and Python.
Build and maintain data workflows and integrations using Azure Data Factory and Azure Storage.
Establish and maintain data governance, access control, and data management practices using Unity Catalog.
Ensure data solutions are scalable, reliable, secure, and maintainable.
Collaborate with engineers and other stakeholders to translate business and technical requirements into effective data solutions.
Contribute to technical decisions, architecture documentation, and best practices across the project.
Identify opportunities to improve existing data solutions, processes, and overall platform performance.<\/p>\n
What We're Looking For
Senior-level experience in Data Engineering, with strong architectural thinking
Hands-on experience with Databricks, Spark, and Python
Solid understanding of Data Lakehouse architecture
Practical experience with Unity Catalog, Azure Data Factory, and Azure Storage
Ability to design scalable and reliable data solutions and make technical decisions
English – B2 or higher
German B1 will be a plus<\/p>\n
Why join us?
A culture built on empathy, transparency, and long-term relationships
Average tenure of 5+ years we're a place where people stay
Personal development plans, structured career growth, and regular performance reviews
Strong internal communication and supportive onboarding
Learning budget & access to internal training
Flexibility to be yourself we encourage individuality and family values
Support for employees in the military
Clients who return with new ideas and trust us to deliver<\/p>\n
Let's DARE TO CREATE together.
Join Acropolium – not just a job, but a place to belong.<\/p>\n","protected":false},"excerpt":{"rendered":"
Join Acropolium – Where People Matter, and Ideas Grow! Acropolium…<\/p>\n","protected":false},"author":5301,"featured_media":0,"parent":0,"comment_status":"open","ping_status":"closed","template":"","meta":{"_mo_disable_npp":"","rwu_salary_min":0,"rwu_salary_max":0,"rwu_salary_currency":"","rwu_salary_period":"","rwu_english_level":"B2","rwu_experience_months":60,"rwu_candidate_countries":"\u0412\u0435\u0441\u044c \u0441\u0432\u0456\u0442","rwu_company_type":"","rwu_industry":"other","rwu_part_time":false,"rwu_source_views":50,"rwu_source_applications":11,"rwu_source_category":"Data Engineer","rwu_source_name":"Djinni.co","rwu_source_url":"https:\/\/djinni.co\/jobs\/850674-senior-data-engineer\/"},"job_category":[57],"job_type":[54],"class_list":["post-4033863","job","type-job","status-publish","hentry","job_category-programuvannia","job_type-povna-zainiatist"],"yoast_head":"\n