Senior Data Analytics Engineer

N-iX; Kraków; Hybrid; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Flexible working format

Competitive salary

Education reimbursement

Mentorship program

Tech talks and trainings

Job summary

N-iX is seeking a Senior analytics engineer specialized in dbt to build and maintain business-critical data models powering credit, payments, and AML reporting for GDPR-compliant fintech clients.

You will work in cross-functional squads, applying strong SQL and data modeling and delivering scalable data products in BigQuery on cloud platforms. You will embed as an individual contributor delivering high-quality analytics work.

Qualifications

• Experience with dbt to build and maintain analytics data models.
• Strong SQL and data-modelling skills for end-to-end data products.
• Experience delivering data models supporting credit, payments, and fraud/AML reporting.
• BigQuery as the primary data warehouse for analytics workloads.

Responsibilities

• Build and maintain business-critical dbt data models.
• Model data powering credit, payments, and fraud/AML reporting.
• Apply strong SQL and data-modelling skills.
• Multiply output and quality by sharing patterns across squads.
• Embed directly into a client squad as a hands-on Individual Contributor.

Skills

dbt

SQL

Data modelling

BigQuery

Tools

Git

Job description

About This Role

We're looking for a Senior, dbt-specialised Analytics Engineer to build and maintain the business-critical data models behind the client's credit, payments, and fraud/AML reporting. Our client is a fast-growing European fintech company in the business spend management space — corporate cards and related financial products — serving SME and mid-sized business customers across the EU and UK, in a regulated environment with GDPR compliance obligations. Engineering is organized into cross-functional squads, with platform/enabling teams providing shared tooling horizontally. The client already runs an AI-native engineering practice: Claude Code and GitHub Copilot are used daily, supported by a growing library of shared, versioned Skills embedded in key repositories, enabling an end-to-end flow from ticket to implementation, testing and PR in several codebases. AI tool/connector rollout follows an approved-list and pilot process. The client is AWS-first overall; for data platform and analytics workloads it also runs GCP, with BigQuery as the primary data warehouse. Day-to-day coordination is Slack-first, with Linear for ticket tracking, GitHub for code/PR review, and Notion as the knowledge base.

Key Responsibilities

• Build and maintain business-critical dbt data models.
• Model data powering credit, payments, and fraud/AML reporting (working from aggregated/modeled data, not raw access to real customer/transaction data — see note above).
• Apply strong SQL and data-modelling skills.
• Multiply the output and quality of the squad you join, and share patterns/practice beyond your immediate team so adoption compounds across the organisation.
• Embed directly into a client squad as a hands-on Individual Contributor (not a coaching/managerial role).

Must-Have Skills

• Experience with dbt.
• Strong SQL and data-modelling skills.
• Experience building and maintaining business-critical data models for credit, payments, and fraud/AML reporting.
• BigQuery — the client's stated primary data warehouse for data platform and analytics workloads.

Nice-to-Have Skills

• Git — standard, expected tooling, but not explicitly named in the RFP for this role.

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits
• not applicable for freelancers