Lead Data Engineer

Sparteo

United StatesPosted about 1 month agoDiscoveredMatch locked

RemoteFull Time2+ years expData Science

About the role

Sparteo is an independent suite of AI-powered advertising technologies built on sustainable, sovereign infrastructure. Since 2018, we've been reshaping programmatic advertising to make it faster, more transparent, and more profitable by building the most direct path between publishers and advertisers. But we don't stop here: wherever attention lives, on the web, in apps, on CTV, and beyond,

our mission is to monetize audiences

, across every device. Our data-driven tech delivers

30% higher revenues

for our clients on average than traditional solutions.

Our Solutions

→ Actirise: the display tech designed for performance → FastCMP: the consent management platform specifically designed for business purposes → Meetscale: the most advanced SSP for Publishers and Ad Networks → Viously: the ultimate all-in-one video tech solution → Voxeus: the audio distribution and monetization technology Behind Sparteo 's growth is a team of 100+ talents across 11 countries, united by a shared ambition to redefine the future of digital advertising. Our dedication has placed Sparteo among the most dynamic tech players in Europe:

FT1000 ranking - Among the fastest-growing European companies in 2024 & 2025

The Europas - Featured in the list of 100 hottest startups

Pixalate Ranking - #1 Web SSP in France with our Actirise solution, overtaking Google AdExchange

These milestones are just the result. What truly sets us apart is how we work: at Sparteo , we don't settle, we act.

•

We are Drivers, not passengers

We take the wheel and own our results. •

We are data-obsessed

: Facts guide us, not assumptions, not egos. •

We think as one

: Collective goals come before personal wins. •

We trade off

: We simplify, prioritize, and go for high-impact results. •

We solve problems

: We own challenges and turn ideas into action. •

We say what we do

: Radical transparency is how we grow, no fluff, no hiding Discover our journey, products, and culture on 👉 our website 👈

Your Job

As our Lead Data Engineer, your mission is to architect, scale, and maintain the backbone of our data ecosystem. You will transform massive volumes of raw signals into actionable intelligence, ensuring our infrastructure is as agile as our growth strategy. You will bridge the gap between high-level data strategy and hands-on technical excellence.

Data Infrastructure Design and Optimization

•

Architectural Leadership

Lead the design, implementation, and optimization of distributed data architectures to support massive

Batch & Streaming

pipelines. •

Scalability & Performance

Ensure the scalability, security, and performance of the infrastructure, maintaining high system availability (

99.9%+

) for analytics platforms. •

Efficiency

Optimize storage solutions to balance high-speed processing with

cost-efficiency

. •

AI Integration

Collaborate with software engineers and data scientists to seamlessly integrate AI-driven models into production data workflows.

Technical Leadership and Team Management

•

Mentorship

Lead and mentor a team of 2 data engineers, fostering a culture of continuous improvement, growth, and technical excellence. •

Standards & Quality

Set high standards for

code quality, documentation, and rigorous peer reviews

. •

Execution

Oversee project execution, delegate responsibilities, and act as the

technical point of escalation

for complex data-related roadblocks. •

Best Practices

Guide technical decisions and promote industry best practices in data engineering (CI/CD, DataOps).

Collaboration and Data Governance

•

Cross-Functional Alignment

Work closely with product managers, developers, and analytics teams to define data needs and ensure alignment with business objectives. •

Reliability

Implement robust monitoring, alerting, and

automated testing (Data Quality)

to ensure the integrity of the data team's output. •

Compliance

Ensure data security and

GDPR compliance

across all international jurisdictions and workflows.

Innovation and Problem Solving

•

Emerging Tech

Identify opportunities to leverage new technologies or improve existing workflows to optimize data processing. •

Complexity Simplification

Maintain a deep understanding of data trends and possess the ability to

simplify complex problems into executable tasks

. •

Generative AI Adoption

Encourage and champion the use of

Generative AI

tools across the team to accelerate development cycles, automate repetitive tasks, and enhance data exploration capabilities.

Your profile for this job

•

Experience

6+ years in Data Engineering, with at least 2 years in a leadership or "referent" role within fast-paced environments. •

Database Mastery

Expert proficiency in distributed data systems, clustering, advanced table types, and

materialized views

. •

Optimization

Skilled in designing table sorting keys and fine-tuning database performance. •

Stack Mastery

Solid programming skills in

Python, Golang, and Scala/Java

, with deep expertise in

Kafka

for streaming/batch data pipelines. •

Infrastructure

Hands-on experience with

on-premise infrastructure

(own datacenter) managed by

Kubernetes

, and familiarity with monitoring stacks such as

Prometheus

. •

Data Storage

Strong knowledge of

column-oriented databases

designed for high-volume data processing,

vector databases (e.g. Qdrant)

, and SQL/NoSQL technologies. •

Tooling

Comfortable working with project tracking tools (Flyspray) and applying

CI/CD & DataOps

best practices. •

AI & Innovation (Nice to have)

Interest or hands-on experience leveraging

Generative AI

tools in daily engineering workflows to boost productivity and innovation.

Your mind set to share our adventure

🚀 You want to make an impact and move things forward collectively. Does hearing phrases like "Yes, but we've been doing it this way for years..." make your hair stand on end? We feel the same way: progress is made by questioning what already exists.

🧠 You solve problems pragmatically and analytically.

🏃‍♂️ You're looking for a fast-moving environment where your agility will be an asset. The 80-20 (Pareto) principle holds no secrets for you.

🎧 Your ability to listen encourages you to challenge and improve yourself on an ongoing basis.

Benefits & Work Environment

🌍

Dynamic Remote Culture

At Sparteo , we embrace a flexible work environment that adapts to your lifestyle, allowing you to contribute from wherever you feel most productive, be it from home or our urban offices in Paris, Lille, or London.

👥

Close-knit Team

Be part of our dynamic and united team, where collaboration, innovation, and mutual support drive our collective success and create a thriving work environment.

🎉

Vibrant Social Events

Engage in regular social gatherings and company events that foster community and celebrate our milestones.

🚀

Rapid Growth

Experience the excitement of working with a company in rapid expansion mode, impacting the advertising technology landscape across Europe and beyond.

📈

Tailored Support

We provide robust career development support, including training programs, career check-ins with HR, opportunities for internal mobility, and performance feedback sessions conducted quarterly or semi-annually, depending on your role.

🌴

RTT Days

We support work-life balance with additional rest days (RTT), provided based on position and tenure, empowering you to recharge and enjoy life outside of work.

🩺

Comprehensive Health and pension plans

We provide a robust health benefits plan, ensuring you and your family are covered and cared for.

• 💼

Additional Perks

🍽️ Benefit from the Swile card for meals.

Ready to join Team Sparteo ? Send us your CV and continue the recruitment process!

Here are the stages in our recruitment process

Discussions about your driving forces, your ambitions and our Sparteo mindset will be held with a member of our Talent Acquisition team.

•

Analytical and business logic tests

Discussions with one or more members of the Sparteo team, including your future manager

•

Taking up references

Our recruitment process is mainly conducted by videoconference; however, certain stages may require a face-to-face meeting. Originally posted on Himalayas

Skills

artificial-intelligencegenerative-aici-cdgoagilejavakafkakubernetesnosqlprometheuspythonrest-api

Who can apply

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