Senior Data Modeler @ SoftServe

SoftServe; Polska; On-site; PLN 120,000 - 180,000; Full time

Job summary

A leading technology solutions company in Poland is seeking a Senior Data Modeler to tackle data challenges and create effective data solutions. This role requires strong expertise in Data Warehouse design, AWS services, and data modeling. The ideal candidate will have experience in building scalable data architectures and guiding Data Engineers. Join us for a vibrant work culture with opportunities for growth and international projects.

Benefits

Sport subscription

Training budget

Private healthcare

International projects

Flat structure

Small teams

Free coffee

Canteen

Bike parking

Free snacks

Free parking

In-house trainings

Modern office

No dress code

Qualifications

• Skilled professional focused on Data Warehouse design and implementation.
• Experienced in data modeling and capable of mentoring others.
• Proficient in Data Warehouse modeling methodologies, including Kimball/Inmon and Data Vault.

Responsibilities

• Address different business and technology challenges in impactful projects.
• Support technical and personal growth with a dedicated career plan.
• Investigate new technologies and build internal prototypes.

Skills

Data Warehouse design and implementation

Data modeling

Data Warehouse modeling methodologies

Building data solutions on AWS

Analytics databases (e.g., Amazon Redshift, Snowflake)

Query optimization

Implementation of ELT processes with SQL

Translating customer requirements into development tasks

Job description

Senior Data Modeler @ SoftServe – Polska

SoftServe is a global digital solutions company with headquarters in Austin, Texas, founded in 1993. Our associates work on 2,000+ projects with clients across North America, EMEA, and LATAM. We are about people who create bold things, make a difference, have fun, and love their work.

Big Data & Analytics Center of Excellence is a data consulting and engineering branch at SoftServe. Hundreds of Data Engineers and Architects build end‑to‑end solutions from strategy through technical design and PoC to full‑scale implementation. We have customers in the healthcare, finance, manufacturing, retail, and energy domains.

We hold top‑level partnership statuses with all major cloud providers and collaborate with many technology partners such as AWS, GCP, Microsoft, Databricks, Snowflake, Confluent, and others.

TOGETHER WE WILL

• Address different business and technology challenges, engage in impactful projects, use top‑notch technologies, and drive multiple initiatives as part of the Center of Excellence
• Support your technical and personal growth— we have a dedicated career plan for all roles in our company
• Investigate new technologies, build internal prototypes, and share knowledge with SoftServe Data Community
• Upskill with full access to Udemy learning courses
• Pass professional certifications, encouraged and covered by the company
• Adopt best practices from experts while working in a team of top‑notch Engineers and Architects
• Collaborate with world‑leading companies and attend professional events

SoftServe is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, age, sex, nationality, disability, sexual orientation, gender identity and expression, veteran status, and other protected characteristics under applicable law. Let’s put your talents and experience in motion with SoftServe.

IF YOU ARE

• A skilled professional focused on Data Warehouse design and implementation
• Driven to deeply understand a customer’s domain to create effective data models and transformation solutions
• Experienced in data modeling and capable of handling hands‑on technical tasks while guiding and mentoring others
• Proficient in Data Warehouse modeling methodologies, including dimensional modeling (Kimball/Inmon) and Data Vault
• Experienced in building data solutions on AWS, using its services to create scalable and dependable data pipelines and architectures
• Skilled in working with analytics databases such as Amazon Redshift, Snowflake, Teradata, Oracle, and MS SQL Server
• Proficient in query optimization and large‑scale dataset management
• Capable of implementing ELT processes with SQL to extract, load, and transform data efficiently for business use
• Proficient in translating customer requirements into development tasks, estimating timelines, and leading teams of Data Engineers effectively

REQUIREMENTS

• Kimball
• Data Vault
• Data Warehouse
• AWS

BENEFITS & PERKS

• Sport subscription
• Training budget
• Private healthcare
• International projects
• Flat structure
• Small teams
• Free coffee
• Canteen
• Bike parking
• Free snacks
• Free parking
• In‑house trainings
• Modern office
• No dress code