Ekimetrics

Support Engineer

• Resolve L1 and L2 incidents, analyze root causes and identify corrective actions.
• Maintain direct contact with users via the support portal.
• Ensure compliance with SLAs.
• Cover the Europe time zone and ensure clear, professional, and structured communication.
• Handle critical incidents requiring advanced expertise.
• Prepare and hand off cases to development teams when necessary.
• Manage sensitive escalations in coordination with leadership.
• Define and maintain the support operating model: processes, standards, tools, templates, severity and priority rules.
• Implement foundations for automation and observability (alerts, dashboards, diagnostics).
• Define communication standards for major incidents (tone, frequency, channels).
• Build continuous improvement loops with Product and Engineering teams.

Support Engineer – M/F/N

QA Engineer

• Join a Product team and strengthen the quality control processes
• Play a key role in the reliability and performance of data & AI solutions
• Develop and maintain automated test suites (Playwright, TypeScript)
• Define and execute comprehensive test strategies: functional, regression, exploratory
• Identify edge cases and improve product robustness
• Implement QA tools and frameworks to industrialize practices

QA Engineer – M/F/X

Data Engineer

• Design, develop and maintain scalable data pipelines (ingestion, transformation, ETL).
• Automate data quality checks and data validation processes.
• Optimize storage, query performance, and infrastructure costs.
• Work closely with AI teams to feed training pipelines, feature stores and deployment workflows.
• Collaborate with Product, QA, Design and Software Engineering teams to understand requirements and deliver robust, actionable solutions.
• Define and enforce standards for data governance, metadata management and data lineage.
• Ensure data integrity, security and compliance.
• Participate in engineering rituals (code reviews, design discussions, incident response).
• Identify and fix defects and performance issues.
• Clearly document developments and propose technical improvements.
• Contribute to recruitment and the upskilling of junior profiles.
• Take part in office life and internal initiatives.

Data Engineer – Permanent (CDI)

Recruitment

• Own and manage consultant staffing across client projects, ensuring optimal allocation aligned with skills, availability, and development goals.
• Anticipate staffing needs and support workforce planning and recruitment forecasts in partnership with HR.
• Monitor utilisation, bench time, and project demand to maintain balanced and sustainable team performance.
• Review project pricing assumptions to ensure delivery feasibility and margin alignment with Finance, Sales, and Operations.
• Establish scalable staffing frameworks, including operating models and team structures.
• Act as the central decision point for staffing trade-offs and allocation conflicts, escalating where appropriate.
• Oversee the operational follow-up of client engagements to ensure effective resource deployment and smooth delivery.
• Define and monitor staffing and delivery KPIs, providing actionable insights to leadership.
• Identify staffing risks and capacity constraints through pipeline visibility, proactively recommending solutions.
• Drive continuous improvement of staffing processes, tools, and ways of working.
• Partner with Partners, Directors, and Commercial teams to support portfolio planning and resource strategy.
• Collaborate with Finance on forecasting, revenue visibility, and margin performance.
• Support leadership in evolving delivery models and operational practices to enable growth.
• Lead or contribute to internal initiatives focused on process optimisation, governance, and tooling.
• Prepare operational insights and materials for management and leadership committees.
• Stay informed on best practices to continuously strengthen staffing maturity.

Resource & Staffing Manager

Data Scientist

• Monitor the state of the art in machine learning broadly, with particular focus on deep learning.
• Conduct research within the Innovation department.
• Follow coding best practices to ensure solutions can be industrialized together with our Solution experts.
• Share your knowledge internally by providing expert support.

Internship 2026 – Data Science, Machine Learning/AI

Full-stack Engineer

• Create and develop web applications
• Participate in code reviews
• Assist in selecting the appropriate technology stack
• Contribute to knowledge sharing across teams

Full-Stack Developer, Junior

Sales

• Qualify inbound leads and understand client needs to determine fit for Ekimetrics’ offers and services.
• Engage in discussions with executive leaders to define and actualize GTM strategies, leveraging your sector and business expertise.
• Maintain up-to-date knowledge of industry trends and Ekimetrics’ offerings to align proposals with client needs.
• Develop and deliver compelling pitches to prospects, showcasing Ekimetrics’ value and expertise.
• Lead the full RFP process, from internal coordination, proposal creation to final presentation.
• Facilitate account teams renewals by helping to define and implement account strategies.

Sales Manager

• Analyse large data sets using statistical techniques to uncover key insights
• Support the team in building marketing mix models (MMM), testing frameworks, forecasting tools, and customer segmentation
• Use Python to process and clean data, write scripts and build ML or econometric models
• Opportunity to work with tools like Power BI, Databricks, Git, Jira, Pandas, PySpark, VS Code
• Gain experience translating complex data outputs into recommendations for clients
• Attend internal and client meetings to understand real business challenges
• Collaborate across teams to build deliverables, present findings and influence decisions
• Undertake an individual R&D project based on your interests and present your findings to the Eki leadership team
• Attend team events, internal training, knowledge sharing and social activities
• Contribute to a fun, curious, and collaborative team culture