Senior Data Engineer, Ekimetrics
$125-140k
Plus bonus
More information about location
3+ days a week in office
Data science & AI for sustainable business performance
Be an early applicant
Data science & AI for sustainable business performance
201-500 employees
Be an early applicant
$125-140k
Plus bonus
More information about location
3+ days a week in office
201-500 employees
Company mission
To help companies get more from their data and implement pre-packaged AI solutions, so they can combine high impact with long-term business purpose.
Role
Who you are
- Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, or a related quantitative field, with 4-6 years of experience in data engineering, analytics, or statistical modeling
- Proficient with Databricks (Delta Lake, Spark, Asset Bundles, Unity Catalog, Cluster Management)
- Proficiency in Python and working knowledge of SQL, Spark, and Bash scripting
- Experience with templating languages is a plus
- Skilled in building and deploying production-grade data pipelines and architectures complete with CI/CD plus experience with ELT/ETL processes
- Experience with Azure required, familiarity with GCP or AWS a plus
- Experience with PowerBI or Tableau for dashboarding and data visualizations
- Exposure to ML or advanced analytics techniques is a plus
- Strong communication, stakeholder management, and project delivery skills, with the ability to explain technical concepts to non-technical audiences
What the job involves
- As a Senior Data Engineer, you will lead and contribute to high-impact projects with top-tier international clients across industries, designing, implementing, and optimizing ETL solutions that support Marketing Mix Modeling and Optimization and broader Marketing Effectiveness initiatives
- You’ll work closely with data engineers, data scientists, and tech leads across 1-2 concurrent projects, build robust, scalable data architectures that enable marketing analytics and support data driven decision making. In addition to technical ownership, you will play a key role in project and stakeholder management, partnering with cross-functional teams and client stakeholders to ensure successful project delivery and business impact
- You will also benefit from our technology partnerships, training programs, and mentorship from Ekimetrics partners, further developing your expertise in data engineering, project management, and stakeholder engagement. Your responsibilities will include:
- Design, develop, and deploy scalable data pipelines and ETL workflows in Databricks
- Transform and harmonize data from diverse sources and formats (i.e. APIs, CSV files, JSON, databases, cloud platforms, file transfers, etc.)
- Build and industrialize cloud-based data solutions and frameworks that support efficient data ingestion, integration, processing, and delivery, enabling reliable and analytics-ready datasets for accounts
- Define and implement robust data architectures, QA, validation, and monitoring processes to ensure accuracy, consistency, reliability, and scalability
- Partner with internal and external stakeholders to understand client data ecosystems, business objectives, account needs, and long-term goals, ensuring alignment between solutions and business priorities
- Translate client requirements into scalable data engineering designs, collaborating cross-functional teams to develop effective ETL frameworks
- Serve as a trusted point of contact through project delivery, communicating technical recommendations and project progress while promoting best practices in data management
- Take ownership of project deliverables from planning through execution, managing priorities, timelines, and risks to ensure high-quality outcomes delivered on time aligned with client objectives
- Proactively identify and mitigate potential project, technical, and data-related risks, communicating issues, recommendations, and status updates clearly
- Collaborate cross-functionally to coordinate activities, align expectations, and drive project execution
Our take
Making sense of data can help companies unlock incredible opportunities, but it can be difficult to maximise its rewards. Ekimetrics solves this problem by acting as a data consultant to companies and helping them to secure immediate business gains through data science and AI.
The company is active in numerous countries, owing its success in part to its ability to offer an "industrialised" data science experience. This has allowed it to onboard big-name partners such as Facebook, Google and Snap, firmly establishing itself as a leading force in the data science sector.
With its impressive funding and recognition, Ekimetrics has made a strong name for itself so far. It continues to expand internationally, introduce new products, and has completed its first acquisition with the purchase of AI customer analytics platform Actable.
Freddie
Company Specialist at Welcome to the Jungle
Insights
8% employee growth in 12 months
Company
Funding (1 round)
Nov 2020
$27.7m
GROWTH EQUITY VC
Total funding: $27.7m
Company benefits
- An emphasis on work-life-balance and 5 PTO days and holidays
- Close-knit team with friendly environment, bi-monthly team events and more
- Unique internal training package with 70+ sessions in our Eki.Academy digital platform
Company HQ
Faubourg-Montmartre, Paris, France
Leadership
Jean-Baptiste Bouzige
(CEO & Co-Founder)Previously worked as Business Planner at Eurostar, and as a Consultant at DDB Matrix.
Francois Poitrine
(GM & Co-Founder)Previously worked as a Business Developer at Heykom, and as a Consultant at DDB Matrix.
Paul Seguineau
(Global Deputy GM & Co-Founder)Previously worked as a consultant at Rapp Collins Paris.
Quentin Michard
(GM & Co-Founder)Previously worked as a PhD Research Associate at L'Oréal.
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