Data Engineering Manager at Flow Traders

Amsterdam, North Holland, Netherlands -

Full Time

Start Date

Immediate

Expiry Date

26 May, 26

Salary

0.0

Posted On

25 Feb, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Engineering Management, Data Platform, Core Data, Business Intelligence, Roadmap Definition, Project Management, Operational Excellence, Career Development, Hiring, Team Scaling, Data Governance, Batch Processing, Streaming Processing, Data Modeling, Stakeholder Management, GCP

Industry

Financial Services

Description

Flow Traders is looking for a Data Engineering Manager to lead the data department in our Amsterdam office and partner with other technology teams like quantitative research, trading, risk, finance and compliance to align data priorities with business goals. In this role you will define and maintain roadmaps for Data Platform, Core Data, and BI aligned to our company’s priorities and translate our objectives into milestones, as well as champion platform and data product thinking (clear interfaces, documented contracts and self-serving capabilities that increase adoption and reduce operational load). You will manage project priorities, dependencies and risks ensuring a timely, high-quality delivery of software, datasets and reports and you will establish operational rituals like quarterly / iterative planning, change management, release practices and delivery reviews. Overall, you will drive operational excellence when it comes to incident response, blameless postmortems, runbooks and continuous improvement. What you will do: People management and team success: Own career development, coaching, growth plans, performance reviews, and promotions Build and scale the team: hiring, headcount planning, on-boarding, resource allocation, and vendor management Foster a culture of innovation, ownership, and continuous learning Run effective team practices: 1:1s, team meetings, feedback cycles, and team-buildings Domain accountability across the data organization: Data Platform: evolve a scalable, self-serve platform (batch and streaming) with strong non-functional posture, storage/compute capacity planning, performance, reliability, security, disaster recovery, and cost efficiency Core Data (foundational datasets): lead teams building and maintaining critical datasets (market/reference data, orders/executions, risk), with robust modeling, schema evolution, idempotent processing, and reproducibility for both batch and streaming Business Intelligence: deliver trustworthy KPIs, semantic models/metrics layers, dashboards, and scalable self-serve analytics; standardize definitions and reduce time-to-insight for stakeholders in trading, risk, finance, and compliance Tight SLAs and critical data: set and meet SLAs for intraday and end-of-day pipelines (e.g., market data ingestion, intraday PNL, end-of-day risk, T+1 reconciliations, regulatory/reg-reporting deadlines) Data governance: partner with Security, Legal, and Compliance on cataloging/lineage, RBAC/ABAC, encryption/KMS, retention/recordkeeping, audit trails, and data quality SLAs while ensuring appropriate handling of sensitive trading data What you need to succeed: 3+ years of engineering management leading data/platform and/or analytics engineering teams 8+ years total in data/platform/analytics engineering Demonstrated success growing data engineers’ careers, improving team health, and leading multi-squad delivery Tooling familiarity across at least one modern data engineering stack Proven track record delivering against roadmaps and tight SLAs for mission-critical data, including on-call and incident management Experience scaling a data platform offering; strong grasp of non-functional requirements (storage/compute architecture, performance, reliability, security, and cost) Familiarity with data governance practices (catalog/lineage, access controls, retention/auditability, data quality frameworks) Strong stakeholder management and communication skills; comfortable working with trading, research, risk, finance, and compliance Technical skills that are preferred for the role: Google Cloud Platform (GCP): Big Query, Pub/Sub, Dataflow, Dataproc, Cloud Composer, GKE, Cloud Storage, IAM/VPC; cost management and workload isolation on GCP Familiarity with at least one management reporting tool like Power BI, Tableau Trading industry experience: market data ingestion, quantitative research workflows (e.g. model training, back testing), order/execution and risk data, PNL, familiarity with regulatory reporting What we offer At Flow Traders, we create the conditions for hard‑working, high‑performing people to do their best work. From a thorough onboarding and ongoing access to Flow Academy, to latest technology and a collaborative, non‑hierarchical culture, we give you the tools, ownership, and support to move fast and drive outcomes. We keep a close‑knit, small‑company feel while offering competitive salary, annual discretionary profit share, and comprehensive benefits, so talent can grow here, and stay here. See our benefits below: Flow Academy and opportunities to attend domain-related conferences Daily catered lunch, great coffee, and a fully stocked kitchen and snack bar In-house Bar and Lounge with arcade, table tennis, billiards, and game consoles Company boat In-house gym and sessions with our nutritionist or personal trainer Bi-weekly massages Annual company trip and a variety of events throughout the year, such as the New Years Event Global rotations across our offices worldwide and more Flow Traders does not accept unsolicited resumes from any professional staffing or search firms. All resumes, and any other information identifying potential candidates, submitted to any employee at Flow Traders via-email, the Internet or directly without a valid and signed search agreement will be deemed free to contact by Flow Traders without any restrictions and no placement fee of any kind will be paid in the event the candidate is hired by Flow Traders.

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities

This role involves leading the data department, defining and maintaining roadmaps for the Data Platform, Core Data, and BI, and translating business objectives into actionable milestones. The manager will also drive operational excellence through incident response, postmortems, and continuous improvement practices.