Data Architect

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, Cologne, Tokyo, Gdańsk and Paris
• 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:

• Owning and co-creating the vision of data competency at Sollers
• Building data competency from the technological side
• Technology PoC-es for new solutions in the area of data
• Participation in presales, and then implementation or supervision over the implementation of proposed ideas
• Acting as a sparring partner for our business and IT team
• Challenge and support digital transformation

Must have:

• Experience in a leading role in data projects for the insurance sector
• Knowledge of the technological standard in the area of data for insurers (including open source)
• Practical deep knowledge of selected technologies in the areas of data integrations, MDM, data analytics, AI, and/or data-driven process automation
• Very good English (min. C1)
• Very good communication skills
• Good understanding of design patterns
• Good understanding of software engineering
• Be able to work in Poland and the European Union

Nice to have:

• 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…

Office:

• Location: city center, Koszykowa 54, 00-675 Warszawa
• Link: https://goo.gl/maps/87PBR4P1dx7caw6p6
• Underground car park (half refundable by Sollers)
• Free bicycle parking

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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