We are looking for an experienced Data Engineer to join our team, working on a hybrid basis from our Paris office and from home. In this role you will be a key member of our Data Science function, contributing directly to our goals and working closely with talented colleagues across the business.
This is a hands-on role with real ownership and impact. You will apply your skills in Python, Apache Spark and Airflow to solve interesting problems, ship work you can be proud of and help us raise the bar for what we do. You will collaborate with cross-functional teams, share your ideas openly and have the support you need to do your best work and grow along the way.
You will bring around 4 to 7 years of relevant experience and strong, practical knowledge of Python, Apache Spark and Airflow. Just as important are clear communication, sound judgement, attention to detail and the ability to collaborate effectively with people across different teams and backgrounds.
Within your first few months, you will get up to speed with our products, processes and people, build strong working relationships across the team, and begin taking ownership of your own work. Over time, you will have the opportunity to deepen your expertise, take on broader scope and grow your career with us as the company continues to scale.
In return, we offer a supportive, inclusive and collaborative environment, competitive pay, meaningful benefits and the chance to do work that genuinely matters. We care about our people, invest in their growth and want everyone here to be able to do the best work of their careers.
If this sounds like you, we would love to hear from you. Zenith Analytics is an equal-opportunity employer: we welcome applicants of all backgrounds and are committed to building a diverse team and an inclusive workplace where everyone can thrive. Apply today and tell us why you would be a great fit.
Responsibilities
As a Data Engineer at Zenith Analytics, you will play a central role within our Data Science function and take ownership of a broad and varied set of responsibilities. Working alongside a collaborative, motivated team, your day-to-day duties will include, but are not limited to, the following:- Document data sources, definitions and methodologies so insights are trusted and easy to reproduce.
- Mentor colleagues on data literacy and help embed a culture of evidence-based decision making.
- Ensure data quality, integrity and governance through validation, monitoring, documentation and clear data contracts.
- Build and maintain dashboards, reports and self-serve tools that make data accessible across the organisation.
- Maintain reproducible, version-controlled analysis and follow sound experimental and statistical practices.
- Conduct exploratory analysis and experiments, and communicate findings clearly to technical and non-technical audiences.
- Evaluate new data tools, platforms and techniques, recommending improvements to our data infrastructure.
- Define and track the metrics that matter, and proactively surface trends, risks and opportunities to leadership.
- Develop, validate and deploy analytical and machine-learning models that turn raw data into actionable business value.
- Design, build and maintain robust data pipelines that ingest, clean, transform and serve data reliably at scale.
- Collaborate with engineering teams to productionise models and integrate insights into customer-facing features.
- Partner with stakeholders to translate ambiguous business questions into well-defined, measurable analytical problems.
- Plan and manage your workload to balance quality, speed and competing demands.
- Support and step in for teammates when needed to help the team meet its shared goals.
- Ensure your work meets agreed quality, compliance and security standards before it is considered complete.
- Handle confidential and sensitive information with discretion, care and integrity at all times.
- Contribute actively to a positive, inclusive, supportive and collaborative team culture.
- Bring energy, curiosity and a solutions-focused mindset to everyday challenges.
- Participate constructively in team meetings, stand-ups, planning sessions, demos and retrospectives.
- Contribute to a culture of accountability, learning from mistakes and celebrating shared wins.
- Build strong, trust-based relationships with internal and external stakeholders.
- Maintain accurate, thorough documentation and keep all relevant systems, tools and trackers up to date.
- Continuously develop your skills, seek feedback and stay current with the latest developments in your field.
- Identify opportunities for improvement and bring forward practical ideas to make our products, processes and ways of working better.
- Collaborate respectfully and effectively with colleagues across teams, functions, time zones and locations.
- Adapt to changing priorities and remain calm, focused and effective in a fast-moving, evolving environment.
What we're looking for
4-7 years of professional experience in a Data Engineer or similar roleStrong working knowledge of Python, Apache Spark and Airflow
Bachelor's degree in Computer Science
Excellent communication, problem-solving and teamwork skills
Benefits
At Zenith Analytics, we believe that looking after our people is the foundation of doing great work. We offer a comprehensive, thoughtfully designed benefits and perks package that supports your health, your finances, your growth and your life outside of work. When you join us, you can expect the following:- A dedicated annual learning and development budget you can spend on courses, books, certifications and conferences.
- A home-office set-up allowance plus the laptop, equipment and tools you need to work comfortably and productively.
- Access to telemedicine and online doctor consultations so you can get care quickly, wherever you are.
- a company-supported retirement savings plan, helping you build long-term financial security for the future.
- Flexible time-off arrangements and the trust to take the breaks you need, when you need them.
- A real commitment to diversity, equity and inclusion, with employee resource groups and an open, respectful culture.
- A results-focused environment that values outcomes and impact over hours logged at a desk.
- Transparent communication, regular all-hands updates and direct, approachable access to leadership.
- A performance-linked annual bonus that meaningfully rewards both your individual contribution and the company's success.
- Allowances and reimbursements for work-related expenses, handled quickly and without unnecessary bureaucracy.
- a generous annual leave allowance well above the statutory minimum, plus public holidays, because rest and time to recharge are essential to doing great, sustainable work.
- Additional wellbeing and volunteering days each year to look after yourself and give back to your community.
- A flat, low-ego environment where good ideas can come from anyone and are acted upon.
- Flexible working hours that let you do your best work while balancing your personal life and commitments.
- Generous referral bonuses for helping us find and hire other great people to join the team.
- Wellness perks such as gym and fitness-membership support, plus wellbeing initiatives throughout the year.
- Comprehensive medical, dental and vision insurance for you and your dependants, so you and your family are well looked after.
- Free snacks, beverages and regular catered meals to keep you fuelled through the day.
- Full sponsorship for relevant professional certifications, memberships and qualifications.
- Regular team lunches, celebrations, offsites and social events that make work more fun, human and connected.
- Structured mentorship, regular feedback and clear, transparent career-progression frameworks to help you grow.
- Recognition of personal milestones with celebration leave and thoughtful gestures.
- Company-funded health insurance with access to a wide network of hospitals and clinics, plus an annual preventive health check-up.
- Protected time for learning, regular internal knowledge-sharing sessions and access to leading online learning platforms.
Education
Bachelor's degree in Computer Science