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Fenergo

Data Platform Engineer

Posted 2 Days Ago
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In-Office
Dublin
Mid level
In-Office
Dublin
Mid level
The Data Platform Engineer will build and operate Fenergo's cloud-native data platform on AWS, focusing on data ingestion, governance, and collaboration with data analysts. Responsibilities include implementing ingestion frameworks, managing data quality, and applying strong engineering practices in a modern SDLC environment.
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About us

At Fenergo, we’re not just building software - we’re transforming how the world’s leading financial institutions fight financial crime. Headquartered in Dublin and trusted by over 100 of the world’s top financial institutions, we’re on a mission to change the game.  

We’re more than a global leader in AI-powered client lifecycle management - we’re reimagining how financial institutions tackle compliance. From Know Your Customer (KYC) and Anti-Money Laundering (AML) to rapidly evolving regulations, we turn complexity into clarity. Our FinCrime Operating System, powered by agentic AI and intelligent automation, helps financial institutions move faster, act smarter, and stay safer across 120+ countries.  

But we don’t stop there.  

At Fenergo, we believe in a world where financial institutions aren’t just compliant - they’re confident. Where technology doesn’t just meet regulations - it stays ahead of them. Our mission is to empower financial institutions to stop financial crime and create a safer world.   

Every product we build, every innovation we deliver, and every partnership we forge is shaped by that belief. We’re tackling some of the toughest challenges in financial technology. From speeding up onboarding to uncovering hidden risks, our work empowers banks to serve their customers with speed, integrity, and peace of mind.  

Join us, and be part of a team that’s building smart solutions, solving real problems, and shaping the future - together. 

What will you do? 

As a Data Platform Engineer, you will build and operate the core components of Fenergo’s modern, cloud-native Data Platform on AWS. You will work as part of the Enterprise Transformation team to deliver secure, automated, scalable data capabilities across ingestion, modelling, governance, and platform tooling. 

You will contribute directly to the controlled SDLC process (Kanban-based engineering workflow, CI/CD, repo standards, testing, automation), supporting a platform that underpins analytics, AI, reporting, and operational processes across the business. 

This role is ideal for a strong platform engineer with deep experience in Python, cloud services, SQL, and modern data engineering patterns. 

Responsibilities 

1. Ingestion 

  • Implement and extend the contract-driven ingestion framework, including CI-driven automation. 
  • Build runners that land data to AWS S3 using idempotent, partitioned layouts with strict IAM-scoped access. 

2. Master Data Management & Dimensional Modelling 

  • Develop DBT models across Silver and Gold layers with a focus on MDM intermediate/unioned layers, golden dimensions, and crosswalks. 
    Implement dbt sources, tests, and schema definitions following SQL and dbt standards. 

3. Platform Tooling & Operations 

  • Administer and optimise data platform tools and components, e.g., Snowflake, dbt Cloud, etc.  
  • Support platform observability, quality controls, security posture, and cost optimisation across AWS and Snowflake. 

4. Software Engineering & SDLC (GitOps/DataOps) 

  • Apply strong engineering practices across multiple repos using GitOps/DataOps patterns, CI/CD, testing, and automation. 
  • Write high-quality Python and SQL following platform standards, with linting, type checking, and test coverage. 

5. Data Governance, Quality & Security 

  • Apply platform governance standards including masking policies, tags, RBAC, and FUTURE GRANTS. 
  • Implement and maintain data quality checks, lineage tagging, and compliance-aligned security patterns. 

6. Cross-Team Collaboration 

  • Work closely with data analysts, AI analysts, and data scientists to support their workflows, improve data accessibility and quality, and enhance their ability to deliver analytics, AI models, and insights on top of the platform. 

Requirements

Skills, Experience & Expectations 

  • Bachelor's degree in Computer Science, Data Analytics, or a numeric discipline. 
  • 3+ years in software/platform/data engineering roles. 
  • Strong Python engineering capability (testing, packaging, CI, linting). 
  • Strong SQL and Snowflake experience (External Tables, Tasks, RBAC, masking). 
  • Experience with dbt (modelling, macros, tests) and orchestration/automation tools. 
  • Strong Git experience and familiarity with Azure DevOps or GitHub workflows. 
  • Hands-on AWS experience (IAM, S3, cross-account access patterns). 
  • Experience working in a modern GitOps/DataOps environment with CI/CD, code review, and repo standards. 
  • Experience working in a modern SDLC: code review, CI/CD, branching, linting, automation. 
  • Strong problem-solving and system-thinking orientation. 
  • Clear communication, ability to work with architecture, analysts, and domain stakeholders. 
  • Demonstrated application of Lean, Agile, and operational excellence principles 


Benefits

Our promise to you  

We are striving to become global leaders across all of the categories we operate in and as part of that we are a high-performing highly collaborative team that works cross functionally to accommodate our client’s needs.   

  • Collaboration: Working together to achieve our best 
  • Outcomes: Drive Success in every engagement  
  • Respect: A collective feeling of inclusion and belonging 
  • Excellence: Continuously raising the bar 

What’s in it for you?  

(Ireland)

  • Healthcare cover through the VHI 
  • Company pension contribution  
  • Life assurance/ Income protection 
  • 23 days annual leave 
  • 3 company closure days 
  • Annual bonus opportunity 
  • Work From Home set-up allowance 
  • Opportunity to work with clients and colleagues on a global scale for a world leader in Client Lifecycle Management 
  • Other competitive company benefits, such as flexible working hours, work from home policy, bike to work scheme, sports and social committee, weekly fitness and sports classes and much more 
  • Buddy system for all new starters 
  • Collaborative working environment 
  • Extensive training programs, classroom and online, through ‘Fenergo University’ 
  • Opportunity to work on a cutting-edge Fintech Product, using the latest of tools and technologies 
  • Defined training and role tracking to allow you see and assess your own career development and progress. 
  • Active sports and social club 
  • State of the art offices in the heart of Dublin’s Docklands with great facilities, canteen and games area 

Diversity, Equality, and Inclusivity 

Fenergo is an equal opportunity employer. We are committed to creating a diverse and inclusive workplace, where all employees are valued, respected, and can reach their full potential. We do not discriminate based on race, colour, religion, sex, national origin, age, disability, or any other characteristic protected by applicable law. Our hiring decisions are based solely on qualifications, merit, and business needs. We believe that a diverse workforce enriches our company culture, fosters innovation, and contributes to our overall success. We strive to provide a fair and supportive environment for all employees, promoting equal opportunities for career development and advancement. We encourage all qualified individuals to apply for employment opportunities and join our team in contributing to a collaborative and inclusive work environment. 

Top Skills

AWS
Azure Devops
Dbt
Git
Python
Snowflake
SQL
HQ

Fenergo Dublin, Dublin, IRL Office

Castleforbes House, Mayor Street, North Wall, Dublin, Ireland

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