Senior Data Engineer (Reconciliation & Controls)

Plum Fintech; Deutschland; Hybrid; EUR 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

Stock options

Private health insurance

Annual training budget

Plum Premium for you and 2 friends or…

Referral rewards

Flexible remote working: 2 days in our

Office presence in London

Team breakfasts and lunches

25 days holiday + bank holidays

45 work-from-anywhere days

2 weeks sabbatical after 4 years

Parental leave

Volunteer day

Annual team trip

Inclusive company culture

Zusammenfassung

Plum Fintech is hiring a Senior Data Engineer to architect and build our next-generation Reconciliation & Controls Platform. You will own the full lifecycle of financial integrity systems, moving from manual workflows to automated, audit-ready infrastructure.

You will design robust ETL/ELT pipelines, optimize architecture for new product models, and ensure regulatory and compliance reporting is accurate and traceable across EU/UK requirements.

Qualifikationen

• 3+ years in Data Engineering or similar backend data infra role.
• Strong SQL and Python skills with cloud data warehouse experience.
• Experience designing ELT workflows with Airflow and dbt.
• Familiarity with financial data reconciliation, auditability and compliance.

Aufgaben

• Design and implement robust ETL/ELT workflows replacing manual reconciliations with automated processes.
• Optimize system architecture to onboard new product models and providers with minimal overhead.
• Build automated reporting pipelines meeting regulatory and audit requirements.
• Decouple reconciliation logic from BI layer to ensure stability across tools.
• Develop alerting, classification, and exception-routing workflows with traceability.
• Iterate data pipelines based on feedback to improve performance and data quality.

Kenntnisse

SQL

Python

Regulatory awareness

Cross-functional communication

Cloud data warehouse concepts

Tools

BigQuery

Airflow

dbt

Terraform

GCP

Jobbeschreibung

Hey! We’re Plum, your smart saving and investing app on a mission to help grow money for life. Whether you’re stashing the cash for tea and toast in your first home or catching some rays during retirement, Plum’s got your back.

Since 2016, over 2 million people in 10 European markets have set aside more than £2 billion with our clever automation and AI – that’s the magic of Plum! As recognition for our work, we’ve received awards from the likes of Deloitte, Finder, and more.

That’s all down to our passionate team of 200+ Plumsters, who work around Europe to help us achieve our mission. And now we’re looking for more brilliant people to join us on our journey.

The Role

Plum is reaching a pivotal moment in our growth. As we approach CASS Large Firm classification, the manual, spreadsheet-heavy processes that served us in our early stages are no longer fit for purpose.

We are looking for a Senior Data Engineer to architect and build our next-generation Reconciliation & Controls Platform.

This is not a reporting role. You will own the entire lifecycle of our financial integrity systems, moving us from fragmented, manual workflows to a hardened, automated, and audit-ready infrastructure. You will be the bridge between complex engineering and regulatory rigor; designing and deploying dedicated reconciliation tooling to standardise our data control frameworks, enhance auditability, and ensure long-term operational resilience.

What You Will Do

• Design and implement robust ETL/ELT workflows that replace manual spreadsheet‑based reconciliations with scalable, monitored, and fully automated processes.
• Continuously optimise system architecture to onboard new product models and partner providers smoothly without adding operational overhead.
• Build and maintain automated reporting pipelines that meet EU & UK regulatory and audit requirements, ensuring consistent, traceable, and fully auditable outputs.
• Decouple core reconciliation logic from the BI layer to ensure operational stability independent of reporting tools or analytics infrastructure changes.
• Develop intelligent alerting, break classification, and exception‑routing workflows that prioritise issues by materiality and provide full traceability for stakeholders.
• Iterate and refine data pipelines based on operational feedback to constantly improve system performance, data quality, and reliability.

Who you are

• 3+ years in Data Engineering or a similar backend data infrastructure role.
• Strong SQL and Python skills; hands‑on experience with BigQuery or a comparable cloud data warehouse.
• Experience designing and operating ELT workflows with tools such as Airflow and dbt.
• Experience with financial data reconciliation processes (breaks, exception management, and control frameworks) is highly preferred.
• Experience building systems that meet audit, regulatory, or compliance requirements.
• Ability to work cross‑functionally with Finance, Compliance, Product, and Engineering teams and communicate technical concepts to non‑technical stakeholders.
• Familiarity with GCP and Terraform is a plus.
• Experience developing internal platforms or full‑stack applications is a plus.

Plum Perks

• We're all in this together! Own part of the company through stock options
• Private health insurance
• Annual training budget
• Plum Premium for you and 2 friends or family
• Referral scheme: earn competitive rewards
• Flexible approach to remote working: we encourage at least 2 days a week in one of our beautiful offices in London, Athens or Cyprus
• Team breakfasts and team lunches.
• 25 days holiday + bank holidays
• 45 work‑from‑anywhere days: giving you the flexibility to work your way.
• 2 weeks sabbatical after 4 years to take the break you deserve.
• Enhanced parental leave
• 1 paid volunteering day annually
• Annual team trip: to a surprise destination!
• A fun, inclusive company culture (think )

If this sounds like you, we’d love to hear from you!

Thanks,

Team Plum

*Plum is an Equal Opportunity Employer. Plum does not discriminate on the basis of race, religion, sex, gender identity, sexual orientation, non-disqualifying physical or mental disability, national origin or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit and business need.