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Riverflex

Senior Manager Data Engineering

Riverflex Amsterdam
85.000 tot 120.000
32 - 40 uur

SIRE LIFE SCIENCES

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SIRE LIFE SCIENCES Hengelo
60.000 tot 80.000
32 - 40 uur

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Oikocredit International Amersfoort
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Riverflex
Senior Manager Data Engineering
Riverflex Amsterdam
85.000 tot 120.000
32 - 40 uur
Status Open
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Wat wij vragen

Opleiding
Master’s Degree in Computer Science, Data Science, or a related field
Talen
  • Je beheerst Engels

Wat wij bieden

Salaris
€ 85.000 tot € 120.000
Uren
32 tot 40 uur per week
Dienstverband
fulltime
Type vacature
intern

Vacaturebeschrijving

Overview

Lead data-driven transformation at Riverflex

At Riverflex, we help organizations unlock the full potential of their data through scalable, cloud-native platforms and modern analytics solutions. We are looking for a Senior Manager Data Engineering to join our Intelligence & Data (I&D) practice and play a key role in shaping our data engineering capability, leading complex client engagements, and growing high-performing teams.

In this role, you will combine deep technical expertise with leadership and strategic ownership. You will architect enterprise-scale data platforms, guide teams in delivering end-to-end data solutions, and act as a trusted advisor to clients—driving impactful, data-driven transformation across industries.

Why choose Riverflex?
  • Collaborative Community: Immerse yourself in a vibrant and dynamic team that values social connections and teamwork, fostering a strong sense of belonging.

  • Global Diversity: Thrive in an international and diverse work environment where team members bring various backgrounds and perspectives, creating a rich tapestry of experiences.

  • Ownership and Impact: At Riverflex, we provide you with the autonomy and the space to take ownership, drive tangible results, and make a lasting impact in the dynamic realm of data engineering.

  • Professional Development: We prioritize your growth with tailored opportunities to propel your career to new heights, ensuring you stay at the forefront of data engineering innovation through continuous learning.

  • Client Impact: Collaborate with a diverse clientele, contributing to meaningful outcomes for our clients and shaping the ever-evolving digital landscape.

  • Cutting-Edge Environment: Riverflex is dedicated to pushing the boundaries of what’s possible in the data engineering field. Join us in fostering a dynamic, creative space where your innovative ideas flourish.

  • Career Growth: Experience dynamic career growth with opportunities to lead, mentor, and collaborate with a community of industry experts, shaping your own path while inspiring others in the journey of data excellence.

  • Global Reach: Engage with a wide array of clients and industries, transcending borders to contribute to our global technology initiatives.

The Role

As a Senior Manager Data Engineering, you will take ownership of data engineering initiatives across multiple clients and internal projects. You will lead solution design, set technical standards, mentor engineers, and contribute to the strategic growth of Riverflex’s data engineering offering. You will work closely with clients, product leaders, architects, and delivery teams to translate business objectives into scalable, secure, and future-proof data platforms.

Responsibilities
  • Technical & Delivery Leadership

    Lead the architecture, design, and delivery of end-to-end data platforms on cloud environments (Azure, Databricks).

  • Define and oversee the implementation of scalable, secure, and high-performance data pipelines

    (batch and real-time).

  • Act as the technical authority on data engineering topics across client engagements.

  • Ensure platform reliability, performance, monitoring, and cost efficiency.

  • Team & Practice Leadership

    Lead, mentor, and grow teams of data engineers, fostering engineering excellence and best practices.

  • Set standards for data modeling, data quality, testing, documentation, and governance.

  • Contribute to capability building within the D&A practice, including tooling, accelerators, and reusable frameworks.

  • Support hiring, onboarding, and career development of data engineering talent.

  • Client & Stakeholder Engagement

    Serve as a trusted advisor to senior client stakeholders, translating business needs into technical solutions.

  • Lead technical discussions, solution proposals, and roadmap planning with clients.

  • Collaborate cross-functionally with analytics, product, and platform teams to enable data products and insights.

  • Ensure compliance with data privacy, security, and regulatory requirements (e.g. GDPR).

  • Innovation & Strategy

    Evaluate and introduce new technologies and approaches to improve scalability, performance, and developer experience.

  • Drive adoption of modern data stack principles, DevOps/DataOps, and cloud-native architectures.

  • Support pre-sales activities and contribute to shaping Riverflex’s data engineering vision.

Job requirements

Must Haves

  • A Master’s Degree in Computer Science, Data Science, or a related field.

  • 7+ years of experience in data engineering roles.

  • Proven experience leading complex data engineering projects and technical teams.

  • Strong hands-on expertise in Python, SQL, and distributed data processing frameworks (e.g. Spark).

  • Extensive experience with Azure and Databricks in enterprise environments.

  • Deep understanding of data modeling, lakehouse architectures, and modern data warehousing concepts.

  • Experience with real-time data ingestion, orchestration, and workflow management (e.g. Airflow, Azure Data Factory).

  • Strong background in DevOps/DataOps, CI/CD, and infrastructure as code (Terraform).

  • Solid understanding of data governance, quality, security, and compliance.

  • Excellent communication, stakeholder management, and leadership skills.

  • Fluency in English; Dutch language proficiency is a plus.

Nice to Haves

  • Experience in a consulting or client-facing environment.

  • Exposure to MLOps or enabling data pipelines for machine learning use cases.

  • Experience with tools such as dbt, Looker or similar modern analytics stacks.

  • Experience contributing to data strategy, roadmaps, or pre-sales activities.

What we offer
  • An exceptional experience of working for a fast-growing start-up, with a fun, dynamic, and stable international environment.

  • A unique opportunity to work in an open-talent network ecosystem with top industry specialists and consultants.

  • Opportunities to work on projects for clients across all our international markets.

  • A growth culture that values autonomy, initiative, and creativity, with fast growth opportunities.

  • An experienced, ambitious, and innovative management team with a professional approach from previous Big 4 firms.

  • Competitive salary and practical benefits such as flexible working arrangements, with the option to work from home or our office space in a start-up hub in the heart of Amsterdam.

Interested?

If you’re excited about crafting the future of tech consulting, contributing to a collaborative team, and taking on new challenges, we’d love to hear from you. Join us in pushing boundaries and making an impact at Riverflex.

We are an Equal Opportunity Employer and take pride in a diverse environment. We do not discriminate in recruitment, hiring, training, promotion, or other employment practices for reasons of race, color, religion, gender, sexual orientation, national origin, age, marital status, medical condition, or disability. Even if you believe you do not tick all the aforementioned requirements for the role, we still encourage you to take the time to apply.

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Salarisomschrijving

€85000 - €120000 monthly

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