Senior Data Analytics Engineer (#5646)

N-iX; Union, Northern (NJ, KY); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Flexible working format

Competitive salary

Mentorship program

Tech talks and trainings

Job summary

N-iX is seeking a Senior analytics engineer specialized in dbt to build and maintain the data models behind critical credit, payments, and fraud/AML reporting for a European fintech client. You will work within cross-functional squads, embedding as an individual contributor and applying strong SQL and data-modelling skills.

The role focuses on delivering scalable analytics on BigQuery in an AWS-first environment, with exposure to GDPR-compliant data handling.

Qualifications

• Experience with dbt and data modelling for analytics.
• Strong SQL skills and ability to build business-critical models.
• Experience powering credit, payments and fraud/AML reporting.
• BigQuery as the primary data warehouse.
• Fintech domain experience is required.

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 share patterns across squads.
• Embed as a hands-on Individual Contributor within a client squad.

Skills

dbt

SQL

Data modelling

BigQuery

Fintech domain

Tools

Git

Job description

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).
• 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.
• Experience with fintech domain.

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
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing