Must have

• SQL

• Python

• Java

• NoSQL

• OLAP

• Apache Spark

• Apache Flink

• Storm

• Data visualization

• Informatica

• ETL

• English

Requirements description

Technical skills:

• 8+ years' experience as a data engineer or similar role.
• Proficiency in SQL, Python, Java and/or other programming languages for data processing and manipulation.
• Experience with relational and NoSQL databases, OLAP tools, vector stores (PGVector, FAISS, Chroma) and data modeling concepts.
• Strong understanding of distributed computing frameworks (e.g., Apache Spark, Apache Flink, Apache Storm).
• Familiarity with data visualization tools and strong experience with data pipeline tools and metadata stores (Informatica).
• Understanding of data and query optimization, query profiling, and query performance monitoring tools and techniques.
• Solid understanding of ETL/ELT processes, data validation, and data security best practices.
• Experience in version control systems (Git) and CI/CD pipelines.
• Familiarity with cloud-based data platforms will be a plus.

Soft skills:

• Excellent problem-solving skills and attention to detail.
• Good communication skills in English.
• Strong communication and collaboration skills to work effectively with cross-functional teams.
• Experience in banking, financial services - is a huge plus

Offer description

CAPCO POLAND

*We are looking for the candidates based in Poland. The job is remote, but may require occasional visits at the office in Warsaw.

Capco Poland is a leading global technology and management consultancy, dedicated to driving digital transformation across the financial services industry. Our passion lies in helping our clients navigate the complexities of the financial world, and our expertise spans banking and payments, capital markets, wealth, and asset management. We pride ourselves on maintaining a nimble, agile, and entrepreneurial culture, and we are committed to growing our business by hiring top talent.

We also are:

• Experts in banking and payments, capital markets, wealth and asset management
• Focused on maintaining our nimble, agile, and entrepreneurial culture
• Committed to growing our business and hiring the best talent to help us get there

ABOUT THE ROLE

As a Senior Data Engineer you will join an international team working for one of the biggest global banks. The Agile team focusing on capital markets is building an innovative platform leveraging data, analytics to drive automated decision-making, smart automation across the full lifecycle of the business. This complex, long-term project will give you an opportunity to work cross-teams and explore new technologies such as gen AI and clouds.

This is a rare opportunity for a self-driven, strong and passionate developer to participate and contribute to a paradigm shift.

WHY JOIN CAPCO?

• Employment contract and/or Business to Business - whichever you prefer
• Possibility to work remotely
• Speaking English on daily basis, mainly in contact with foreign stakeholders and peers
• Multiple employee benefits packages (MyBenefit Cafeteria, private medical care, life-insurance)
• Access to 3.000+ Business Courses Platform (Udemy)
• Access to required IT equipment
• Paid Referral Program
• Participation in charity events e.g. Szlachetna Paczka
• Ongoing learning opportunities to help you acquire new skills or deepen existing expertise
• Being part of the core squad focused on the growth of the Polish business unit
• A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients
• A work culture focused on innovation and creating lasting value for our clients and employees

ONLINE RECRUITMENT PROCESS STEPS

• Screening call with the Recruiter
• Technical interview: first stage
• Client Interview
• Feedback/Offer

Joining Capco means joining an organisation that is committed to an inclusive working environment where you’re encouraged to #BeYourselfAtWork. We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It’s important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table – so we’d love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help.

Your responsibilities

1. Collaborate with business stakeholders and PO to understand data requirements and translate them into technical solutions.
2. Implement data models and schemas to support analytics, reporting, and machine learning initiatives.
3. Optimize data processing and storage solutions for performance, scalability, and cost-effectiveness.
4. Ensure data quality and integrity by implementing data validation, monitoring, and error handling mechanisms.
5. Collaborate with data analysts and data scientists to provide them with clean, reliable, and accessible data for analysis and modeling.
6. Stay current with emerging technologies and best practices in data engineering and recommend innovative solutions to enhance our data capabilities.

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