Staff DataOps Engineer Job at Doctolib (Paris)

New

Staff Dataops Engineer

Your Impact We are looking for a Staff DataOps Engineer to join the Data and M...

Location

France , Paris

Salary:

Not provided

Doctolib

Expiration Date

Until further notice

Requirements

7+ years of experience after graduation as a Staff Data Platform Engineer, Staff DataOps, Staff Site Reliability Engineer, or in a similar role, with a history of architecting and scaling robust data platforms
Extensive experience with Google Cloud Platform and a command of Kubernetes & Terraform for automated deployments, and you are an authority on implementing network and IAM security best practices
Deep technical proficiency in orchestrating data pipelines using Airflow or Dagster, deploying applications to the cloud, and leveraging modern data warehouses such as BigQuery
Highly skilled in programming with Python, and have a solid understanding of software development principles
Excellent troubleshooter who excels at diagnosing and fixing data infrastructure and identifying performance bottlenecks, and a strong communicator who can articulate complex technical concepts to both technical and non-technical audiences

Job Responsibility

Design and implement enterprise-scale data infrastructure strategies, conducting thorough impact and cost analysis for major technical decisions, and establishing architectural standards across the organization
Build and optimize complex, multi-region data pipelines handling petabyte-scale datasets, ensuring 99.9% reliability and implementing advanced monitoring and alerting systems
Lead cost analysis initiatives, identify optimization opportunities across our data stack, and implement solutions that reduce infrastructure spend while improving performance and reliability
Provide technical guidance to data engineers and cross-functional teams, conduct architecture reviews, and drive adoption of best practices in DataOps, security, and governance
Evaluate emerging technologies, conduct proof-of-concepts for new data tools and platforms, and lead the technical roadmap for data infrastructure modernization

What we offer

Free comprehensive health insurance for you and your children
25 days of paid vacation per year, plus up to 14 days of RTT
Free mental health and coaching services through our partner Moka.care
Work from abroad for up to 10 days per year thanks to our flexibility days policy
Lunch vouchers (Swile card) worth €8.50 per working day, with €4.50 covered by Doctolib
A subsidy from the work council to refund part of the membership to a sport club or a creative class
50% reimbursement of your public transport subscription
Parent Care Program: receive one additional month of leave on top of the legal parental leave
For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
Relocation support in case of international mobility

Fulltime

Staff Data Ops Engineer - Platform

We are looking for a Staff Data Ops Engineer - Platform to join the Data & AI Pl...

Location

France , Paris

Salary:

Not provided

Doctolib

Expiration Date

Until further notice

Requirements

7+ years of experience after graduation as a Staff Data Platform Engineer, or Staff Data Ops or Staff Site Reliability Engineer or in a similar role, with a history of architecting and scaling robust data platforms
Extensive experience with Google Cloud Platform and a command of Kubernetes & Terraform for automated deployments
Authority on implementing network and IAM security best practices
Deep technical proficiency in orchestrating data pipelines using Airflow or Dagster, deploying applications to the cloud, and leveraging modern data warehouses such as BigQuery
Highly skilled in programming with Python, and have a solid understanding of software development principles
Excellent troubleshooter who excels at diagnosing and fixing data infrastructure and identifying performance bottlenecks
Strong communicator who can articulate complex technical concepts to both technical and non-technical audiences

Job Responsibility

Design and implement enterprise-scale data infrastructure strategies, conducting thorough impact and cost analysis for major technical decisions, and establishing architectural standards across the organization
Build and optimize complex, multi-region data pipelines handling petabyte-scale datasets, ensuring 99.9% reliability and implementing advanced monitoring and alerting systems
Lead cost analysis initiatives, identify optimization opportunities across our data stack, and implement solutions that reduce infrastructure spend while improving performance and reliability
Provide technical guidance to data engineers and cross-functional teams, conduct architecture reviews, and drive adoption of best practices in DataOps, security, and governance
Evaluate emerging technologies, conduct proof-of-concepts for new data tools and platforms, and lead the technical roadmap for data infrastructure modernization

What we offer

Free comprehensive health insurance for you and your children
Parent Care Program: receive one additional month of leave on top of the legal parental leave
Free mental health and coaching services through our partner Moka.care
For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
Work from EU countries and the UK for up to 10 days per year, thanks to our flexibility days policy
Work Council subsidy to refund part of sport club membership or creative class
Up to 14 days of RTT
A subsidy from the work council to refund part of the membership to a sport club or a creative class
Lunch voucher with Swile card

Fulltime

Staff DevOps - Data Platform

We are looking for a Staff DevOps - Data Platform to join the Data and ML Platfo...

Location

France , Paris

Salary:

Not provided

Doctolib

Expiration Date

Until further notice

Requirements

7+ years of experience after graduation as a Staff Data Platform Engineer, Staff Data Ops, Staff Site Reliability Engineer, or in a similar role, with a history of architecting and scaling robust data platforms
Extensive experience with Google Cloud Platform and a command of Kubernetes & Terraform for automated deployments
Authority on implementing network and IAM security best practices
Deep technical proficiency in orchestrating data pipelines using Airflow or Dagster, deploying applications to the cloud, and leveraging modern data warehouses such as BigQuery
Highly skilled in programming with Python, and have a solid understanding of software development principles
Excellent troubleshooter who excels at diagnosing and fixing data infrastructure and identifying performance bottlenecks
Strong communicator who can articulate complex technical concepts to both technical and non-technical audiences

Job Responsibility

Design and implement enterprise-scale data infrastructure strategies, conducting thorough impact and cost analysis for major technical decisions, and establishing architectural standards across the organization
Build and optimize complex, multi-region data pipelines handling petabyte-scale datasets, ensuring 99.9% reliability and implementing advanced monitoring and alerting systems
Lead cost analysis initiatives, identify optimization opportunities across our data stack, and implement solutions that reduce infrastructure spend while improving performance and reliability
Provide technical guidance to data engineers and cross-functional teams, conduct architecture reviews, and drive adoption of best practices in DataOps, security, and governance
Evaluate emerging technologies, conduct proof-of-concepts for new data tools and platforms, and lead the technical roadmap for data infrastructure modernization

What we offer

Free comprehensive health insurance for you and your children
Parent Care Program: receive one additional month of leave on top of the legal parental leave
Free mental health and coaching services through our partner Moka.care
For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
Work from EU countries and the UK for up to 10 days per year, thanks to our flexibility days policy
Work Council subsidy to refund part of sport club membership or creative class
Up to 14 days of RTT
A subsidy from the work council to refund part of the membership to a sport club or a creative class
Lunch voucher with Swile card

Fulltime

New

Reception Class Teacher - Early Years Foundation Stage

On behalf of our client school, Randstad Education is seeking a dedicated and en...

Location

United Kingdom , East Malling

Salary:

Not provided

Randstad

Expiration Date

April 29, 2026

Requirements

Qualified Teacher Status (QTS) is essential
Proven experience teaching within the Early Years Foundation Stage (EYFS)
Ability to plan and deliver a creative, play-based curriculum
Strong commitment to student well-being and safeguarding

Job Responsibility

Leading the Reception class (EYFS)
Commitment: 3 days per week
Timeline: Commencing in January 2026 and running through the end of the academic year, August 2026

What we offer

training and education

Parttime

New

Manager - SOX Advisory Team

Manager - SOX Advisory Team. Our SOX Finance Control Associates are masters of S...

Location

United States , Richmond; McLean

Salary:

149800.00 - 188100.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor's Degree or military experience
At least 5 years of experience in SOX, audit, information technology risk management, financial reporting risk management, or a combination

Job Responsibility

Lead the execution of SOC1 engagements performed by our external auditors for our global payment network business
Assist in guiding multiple customer stakeholders through our robust risk management framework including planning, scoping, risk assessment, control design, testing, deficiency analysis, reporting and certification
Design, develop, and manage project plans and delivery roadmaps in a complex dynamic environment
Effectively manage scope, schedule, resources and budget and communicate status, impediments, and risks/issues
Develop engagement planning documentation for assigned areas to communicate rationale for scoping decisions, and develop audit programs to ensure adequate coverage of risks
Develop a high level of knowledge around reporting compliance, risk management, and evolving industry changes and understand the broader context of implication of reporting risks affecting the company
Partner with project stakeholders to provide strategic and tactical recommendations in support of project delivery
Interpret and communicate program and control information to various stakeholders including identified risks or issues and recommended remediation
Drive solutions to complex problems across cross-functional teams by applying sound business judgment to navigate trade-offs between competing priorities
Monitor and advise on SOX testing by auditors, risk offices and contractors

What we offer

Eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)

Fulltime

New

Machine Learning Engineer

Machine Learning Engineer – NLP & Customer Analytics Contract through the end of...

Location

United States

Salary:

Not provided

Tier4 Group

Expiration Date

Until further notice

Requirements

Strong Python skills (Pandas, scikit‑learn, TensorFlow or PyTorch)
Hands-on experience with machine learning and NLP
Solid SQL and data manipulation skills
Experience working with customer, marketing, or behavioral data
Experience working with unstructured data, including text and transcripts
Comfortable taking models from development through production
Experience in telecom, subscription-based, or recurring revenue businesses
Background in recommendation systems, personalization, or uplift modeling
Familiarity with speech analytics or call center data
Experience supporting experimentation frameworks or A/B testing

Job Responsibility

Analyze call center transcripts and unstructured text data using NLP to detect customer sentiment and intent
Identify churn risk and customer complaints
Surface upsell and cross‑sell opportunities
Develop and deploy machine learning models for customer churn prediction
Next Best Offer / personalization
Campaign targeting and uplift modeling
Create customer segments and propensity models
Support A/B testing, experimentation, and campaign optimization
Work with diverse data sources such as customer usage, billing, CRM, and call logs
Collaborate with data, analytics, and business teams to translate insights into action

New

Principal Financial Analyst

As a Principal Financial Analyst on the EPX (“Enterprise Product & Experience”) ...

Location

United States , Richmond; McLean

Salary:

109900.00 - 137900.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor’s Degree or military experience
At least 4 years experience in financial analysis, financial modeling, or a combination

Job Responsibility

Develop the Annual Budget, Monthly Financial Forecast and the Long-Term Financial Plan
Develop financial models and analyses to support growth of the business and strategic initiatives
Analyze current and past trends in key performance indicators including areas of revenue, expenses and capital expenditures
Monitor performance indicators, highlighting trends and analyzing causes of unexpected variance
Analyze complex financial information and reports to support accurate and timely financial recommendations to management for decision making purposes
Prepare monthly, quarterly and annual Reporting and Analysis
Identify industry trends and insights pertaining to competitor’s strategies and/or relative financial performance (e.g. peer benchmarking)
Perform ad hoc analysis using data retrievals from internal financial systems and external market databases and package insights into clear and concise presentations
Work closely with the business leads to help identify areas and processes for driving efficiencies
Implement and work with Business Intelligence Tools and Dashboard reports

What we offer

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
health, financial and other benefits

Fulltime

New

Workspace Analytics Lead

We are seeking a Workspace Analytics Lead to define and establish a clear, credi...

Location

United States of America , Milwaukee

Salary:

70.00 USD / Hour

Tier4 Group

Expiration Date

Until further notice

Requirements

Demonstrated ability to define metrics and analytics roadmaps—not just produce reports
Experience in workspace, real estate, facilities, or portfolio analytics
Hands-on experience working with CAFM / IWMS platforms (OpenBlue strongly preferred)
Power BI and/or Tableau experience
Strong analytical and communication skills with the ability to translate data into executive-ready insights
Ability to operate independently in a contract, outcome-focused role

Job Responsibility

Define a workspace metrics framework aligned to real business and campus planning decisions
Establish clear metric definitions, assumptions, and calculation logic to ensure consistency and credibility across reporting
Align metrics to the IWMS as the authoritative source for space inventory, space types, and seat assignments
Evaluate existing data sources and tools to assess what can be reliably measured today
Identify data gaps, integrity issues, and dependencies that impact the usefulness of workspace analytics
Recommend practical improvements and sequencing
Deliver a small set of decision-ready dashboards or analytical views that translate workspace data into clear, actionable insights
Ensure outputs are designed to support space allocation, planning, and design discussions
Partner with workspace strategy and design leaders to validate insights
Develop a 12–18 month workspace analytics roadmap

What we offer

$70/hr. W2, Benefits, free daily lunch when onsite

Fulltime

Staff DataOps Engineer

Doctolib

Location:
France , Paris

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 05, 2026

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Staff DataOps Engineer

Doctolib

Location:France , Paris

Category:IT - Software Development

Contract Type:Employment contract

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:January 05, 2026

Looking for more opportunities? Search for other job offers that match your skills and interests.

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Staff Dataops Engineer

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Location:
France , Paris

Category:
IT - Software Development

Contract Type:
Employment contract

Job Posted:
January 05, 2026