Data Warehouse Developer

Data Competency

Versatility is the keyword when it comes to what we do in IT. Data Competency is one of our new-born initiatives to support the digital transformation of the financial sector, enabling our customers to become truly data-driven companies. Our mission is to ensure capabilities to address financial sector data-related needs.

Key facts about Sollers Consulting:

• Founded in 2000
• No of employees: 600 (total), 370 (Warsaw)
• Locations: Warsaw, Lublin, Poznań, Gdańsk, Cologne, Paris and Tokyo
• Specialization: Business advisory and software implementation
• Sectors: Insurance, Risk, Banking, Leasing
• Projects worldwide: Poland, DACH (Germany, Austria, Switzerland), Japan, UK, USA, Canada, Brazil, and many more: https://sollers.eu/customer-and-partners/
• Partnerships: Guidewire, TIA, FADATA, Moody’s
• Own products: RIFE (Responsive Integrable Front End)
• Flat structure

Tools & technologies used on projects:

• Data architecture, data modeling, design patterns
• RDBMS and NoSQL databases
• DataOps, ETL technologies
• Real-time data streaming, Spark, Airflow, Kafka
• OLTP, OLAP, DWH, data lakes
• BI & predictive analytics; AI/ML
• Python, Java, Scala, R

Your responsibilities and challenges:

• Developing ETL solutions and automating data flows
• Designing logical and physical models using formal techniques and design patterns
• Monitoring performance and optimizing data warehouse provisioning processes
• Advising on potential improvements and enhancements of existing data warehouse and reporting solutions
• Work with Business Analysts, functional SMEs, and tech leads to ensure business requirements are adequately addressed in the design and later in the development process
• Monitor Data Warehouse jobs and troubleshoot failures
• Advising on the use of appropriate methodologies and technologies
• Designing comprehensive data architectures addressing clients’ needs and other aspects like data privacy and security, compliance with regulations, integrity, and availability, etc.

We bet on you, so we expect you to:

• At least 3y of commercial experience as a Data Warehouse (DWH) Developer
• Hands-on experience in data modeling and developing data systems
• Understanding of DWH concepts
• Proficiency in SQL and PL/SQL or T-SQL
• Experience with integration patterns (ETL/ELT) and data migration
• Very good English (min. B2)
• Very good communication skills
• Good understanding of software engineering
• Be able to work in Poland and the European Union

We appreciate if additionally you:

• Practical knowledge of selected technologies in the areas of data integrations, MDM, data analytics, AI, and/or data-driven process automation
• Knowledge of insurtechs in the data area
• Experience in software bidding processes
• Fluent German or French
• Experience in consulting
• Work experience in Agile (Scrum) methodology

Equipment:

• Intel core i5/i7 notebooks, 32 GB RAM, Win10, 2x24’’ monitors
• Ergonomic chair, designed in Japan
• Motorized height-adjustable desk
• And many, many more…

Gdańsk, Lublin, Poznań, Warsaw
RDBMS, NoSQL, DataOps, Kafka, Agile, Scrum

Benefits & Perks

Open company culture
Opportunity to work worldwide
Supportive and talented community
Clear home office rules
High-end work equipment
Delicious cereals, coffee and fresh fruits

Recruitment process

CV Evaluation

CV Evaluation

Online Code Testing (optional)

Online Code Testing (optional)

Interview

Interview

Welcome on board!

Welcome on board!

Tips & Tricks

Mirek, Recruiter

It’s always good to have a resume complete in terms of foreign languages proficiency, acquired skills and commercial experience. Truth is always the most important aspect, so be honest.​

You are applying for a Junior position and have no experience? Don’t worry – just add your projects’ portfolio (eg. on github) and show us what you’ve been doing so far.​

We’re looking for people open to learning new technologies, getting familiar with the financial sector, particularly insurance.

Pavlo, Developer

My top 3 tips for an interview at Sollers are:​

Don’t be afraid to ask questions and admit you don’t know the answer to a given question – it doesn’t mean you know nothing, it just saves a time for all of us​

IT knowledge at least on solid basic level is also a must. This includes data structures, design paradigms and patterns, architecture design and coding principles to name a few​

Lack or little commercial experience? Be prepared to solve some algorithm tasks

Career path

Contact Us

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about recruitment or our company?
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