CrawlJobs Logo

Senior Data Engineer - Analytics

France, Paris Employment contract · Job Posted April 23, 2026
Apply Position
Job Link Share

Job Description

We are looking for a Senior Data Engineer - Analytics to join the Analytics Engineering team at Doctolib. As a Senior Data Engineer - Analytics, your mission will be to work on building data products that provide insights and support decision-making across Doctolib, helping to transform access to healthcare. You will be working in a team developing data pipelines and solutions that empower our organization with data-driven insights while supporting our AI strategy.

Job Responsibility

  • Building and maintaining data pipelines using Python (Dagster) to support Doctolib's AI strategy
  • Developing and maintaining data marts in BigQuery using SQL/Jinja, DBT
  • Creating dashboards for high-level reporting using Tableau
  • Collaborating with stakeholders to understand their data needs and define specifications
  • Ensuring data quality, security (GDPR compliance), and availability through monitoring and optimization

Requirements

  • You have at least 7 years+ of experience as an Analytics Engineer, Data Engineer, or a similar role
  • You are proficient in Python, SQL, and DBT for building data pipelines
  • You have experience with BI tools such as Tableau, Metabase, or similar platforms
  • You have a first experience with Google Cloud Platform (GCP) stack
  • You have a good understanding of functional aspects of data (Sales, Finance, Web Analytics, Product)
  • You have strong communication skills and can collaborate effectively with business teams

Nice to have

  • Have experience with AI products
  • Have experience with Vertex AI
  • Have experience with Cursor / Claude
  • Are familiar with GDPR regulations

What we offer

  • Free comprehensive health insurance for you and your children
  • Parent Care Program: additional 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 a sport club membership or a creative class
  • Up to 14 days of RTT
  • Lunch voucher with Swile card
  • Bicycle subsidy

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

Senior Data Engineer - Analytics

8 matching positions

Senior AWS Data Engineer / Data Platform Engineer

We are seeking a highly experienced Senior AWS Data Engineer to design, build, a...
Location
Location
United Arab Emirates , Dubai
Salary
Salary:
Not provided
northbaysolutions.com Logo
NorthBay
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of experience in data engineering and data platform development
  • Strong hands-on experience with: AWS Glue
  • Amazon EMR (Spark)
  • AWS Lambda
  • Apache Airflow (MWAA)
  • Amazon EC2
  • Amazon CloudWatch
  • Amazon Redshift
  • Amazon DynamoDB
  • AWS DataZone
Job Responsibility
Job Responsibility
  • Design, develop, and optimize scalable data pipelines using AWS native services
  • Lead the implementation of batch and near-real-time data processing solutions
  • Architect and manage data ingestion, transformation, and storage layers
  • Build and maintain ETL/ELT workflows using AWS Glue and Apache Spark on EMR
  • Orchestrate complex data workflows using Apache Airflow (MWAA)
  • Develop and manage serverless data processing using AWS Lambda
  • Design and optimize data warehouses using Amazon Redshift
  • Implement and manage NoSQL data models using Amazon DynamoDB
  • Utilize AWS DataZone for data governance, cataloging, and access management
  • Monitor, log, and troubleshoot data pipelines using Amazon CloudWatch
  • Fulltime
Read More
Arrow Right
New

Senior Data Analytics Engineer

We are looking for a Senior Data Analytics Engineer to help shape and scale mode...
Location
Location
United States , Reston
Salary
Salary:
Not provided
https://www.roberthalf.com Logo
Robert Half
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • At least 5 years of experience in data engineering, analytics engineering, or a comparable data-centric role
  • Demonstrated expertise in dimensional modeling, including the design of fact tables, dimension tables, and slowly changing dimensions
  • Strong hands-on capability with Python, PySpark, SparkSQL, and notebook-based data development
  • Experience delivering end-to-end data solutions built on medallion architecture principles
  • Working knowledge of modern big data technologies such as Apache Spark, Hadoop, Kafka, and ETL frameworks
  • Familiarity with machine learning and AI concepts within contemporary analytics environments
  • Experience using Git within team-based software or data development workflows
  • Strong communication skills with the ability to align technical delivery with business objectives
Job Responsibility
Job Responsibility
  • Design, build, and maintain scalable data pipelines that ingest, transform, and deliver trusted datasets for analytics and operational use
  • Develop curated data layers using medallion-style architecture to improve data quality, accessibility, and consistency across the platform
  • Create and optimize dimensional models, including fact and dimension structures, to support reporting, trend analysis, and business intelligence needs
  • Use Python, PySpark, SparkSQL, and notebook-based development environments to engineer efficient data processing workflows
  • Partner with business and technical stakeholders to gather requirements and translate them into practical data products and analytics solutions
  • Apply data governance, security, and enterprise data management standards to protect information and support compliant data usage
  • Contribute to collaborative development practices through version control, code review, and shared engineering standards using Git
  • Support advanced analytics initiatives by preparing data foundations that can be used for machine learning and AI-driven use cases
What we offer
What we offer
  • medical
  • vision
  • dental
  • life and disability insurance
  • 401(k) plan
  • Fulltime
Read More
Arrow Right

Senior Data & Analytics Engineer - Snowflake & Power BI

We are looking for a skilled Data Engineer with strong experience in Databricks ...
Location
Location
Romania , Cluj
Salary
Salary:
Not provided
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Proven experience working as a Data Engineer, Analytics Engineer, or hybrid role
  • Strong hands-on expertise with Snowflake
  • Advanced SQL skills with a strong analytical focus
  • Strong hands-on experience with Power BI (modelling, DAX, Power BI Service)
  • Experience designing data models specifically for analytics and BI
  • Ability to work end-to-end across data ingestion, transformation and visualisation
  • Strong problem-solving skills and attention to data quality
  • Experience working in cloud data platforms (Azure preferred)
  • Familiarity with data governance, lineage and documentation concepts
  • Experience supporting analytics at scale or across multiple teams
Job Responsibility
Job Responsibility
  • Design and build scalable Snowflake-based data architectures
  • Develop and maintain robust data pipelines for ingestion, transformation and aggregation
  • Write high-quality, performant SQL tailored for analytical workloads
  • Engineer analytics-ready data models optimised for BI and reporting use cases
  • Optimise Snowflake performance, cost efficiency and data organisation
  • Implement data quality checks, monitoring and basic governance controls
  • Build curated datasets and analytics layers sourced from Snowflake
  • Design data structures that simplify and accelerate Power BI development
  • Ensure consistent definitions, metrics and calculations across analytics outputs
  • Collaborate with stakeholders to translate reporting requirements into data models
What we offer
What we offer
  • Smooth integration and a supportive mentor
  • Pick your working style: choose from Remote, Hybrid or Office work opportunities
  • Our projects have different working hours to suit your needs
  • Sponsored certifications, trainings and top e-learning platforms
  • Private Health Insurance
  • Individual coaching sessions
  • Accredited Coaching School
  • Epic parties or themed events
  • Fulltime
Read More
Arrow Right

Senior Data Engineer - Analytics and Visualization

As a senior Data Engineer on the ALSO backend team, you will drive technical exc...
Location
Location
United States , Palo Alto
Salary
Salary:
165000.00 - 200000.00 USD / Year
ridealso.com Logo
ALSO
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of experience in data engineering, analytics engineering, or analytics-focused roles with proven experience owning end-to-end analytics and visualization systems
  • Strong background working with large-scale telemetry and business data
  • Deep SQL expertise and strong Python (data pipelines, transformations, automation)
  • dbt or equivalent analytics transformation frameworks
  • Track record of improving data quality, metric reliability, and dashboard usability
  • AWS (S3, Glue, Athena, Redshift / Redshift Serverless, Lambda, EventBridge)
  • Databricks / Spark-based ecosystems
  • Orchestration tools (Airflow, MWAA, Step Functions, or similar)
  • Tableau, Power BI, Looker / Looker Studio (or equivalent) and experience building executive and self-serve dashboards
  • Strong opinions on visualization UX and metric storytelling
Job Responsibility
Job Responsibility
  • Design multi-level visualization experiences (exec → operational → deep-dive) and translate complex telemetry and business data into clear, intuitive visuals
  • Define visualization standards: metric definitions, charting patterns, UX clarity and Own dashboards as long-lived products, not one-off reports
  • Design and maintain analytics-layer data models (facts, dimensions, wide tables, semantic layers), Build performant datasets optimized for BI tools and large-scale querying
  • Partner with upstream engineers to shape event and telemetry schemas for downstream analytics, Optimize queries, storage, and compute for scale and cost efficiency in AWS
  • Define and enforce metric contracts across teams and Implement automated data quality checks (completeness, freshness, correctness)
  • Design pre- and post-pipeline validation frameworks and reduce metric drift and dashboard inconsistencies
  • Work cross functionally and turn ambiguous business questions into concrete metrics and dashboards
  • Influence without authority across multiple teams
What we offer
What we offer
  • Robust health coverage
  • Excellent health, dental and vision insurance covered up to 100% by ALSO with FSA & HSA options
  • One Medical membership and dedicated insurance advocates
  • Rich fertility and family building benefits with Progyny
  • Flexible time off
  • 401(k) match
  • Fulltime
Read More
Arrow Right

Senior Data Analytics Engineer

At Fever, we are building a federated data organization that combines centraliza...
Location
Location
Spain , Madrid
Salary
Salary:
Not provided
https://feverup.com/fe Logo
Fever
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Fluent in Spanish and English
  • A Bachelor’s, Master’s, or PhD in Computer Engineering, Data Engineering, Data Science, or a related field
  • A collaborative mindset
  • Strong communication skills
  • A keen interest in understanding a complex business landscape
  • Strong experience with SQL and data modeling
  • Hands-on experience with DBT
  • Hands-on experience with Python and orchestration frameworks
  • Familiarity with modern cloud data warehouses
  • Experience with BI tools
Job Responsibility
Job Responsibility
  • Design, build, and maintain data models
  • Collaborate with the data engineering team to define and certify business-critical metrics
  • Work with business squads to understand their needs and turn them into reusable data assets
  • Ensure data quality and consistency
  • Support self-service analytics
  • Contribute to Airflow pipelines in Python
  • Contribute to our data mesh vision
What we offer
What we offer
  • Attractive compensation package
  • Stock options
  • Responsibility from day one and professional and personal growth
  • Opportunity to have a real impact
  • 40% discount on all Fever events and experiences
  • Home office friendly
  • Health insurance
  • Flexible remuneration
  • English Lessons
  • Gympass Membership
  • Fulltime
Read More
Arrow Right

Senior Data Engineer, People Analytics

A Data Engineer is a builder, an innovator, and a trusted strategic partner. You...
Location
Location
United States , Denver; San Francisco; Sunnyvale; Bellevue
Salary
Salary:
165000.00 - 200000.00 USD / Year
crusoe.ai Logo
Crusoe
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Deep experience managing data in Google Cloud Platform
  • Expert proficiency in Sigma or similar BI platforms
  • Hands-on experience with Ashby, Rippling, or similar HR/Recruiting Systems
  • Experience building semantic layers that create context based in business logic from raw data
  • Experience or strong interest in applying AI/ML techniques (NLP, regression analysis, etc.) to people data
  • Ability to explain complex data architectures to non-technical stakeholders
Job Responsibility
Job Responsibility
  • Build and maintain resilient ETL pipelines to centralize data from core HCM and ATS systems into Google Cloud Platform, Big Query, and other people analytics products
  • Architect a robust semantic data layer (using dbt) that translates raw database schemas into business-friendly logic
  • Enable non-technical leaders to ask natural language questions and get accurate answers
  • Leverage AI and LLMs to unlock insights from unstructured data and build predictive models for attrition and headcount planning
  • Design data products that solve operational problems
  • Partner proactively with Talent, Finance, and People leaders
  • Translate vague business anxieties into rigorous data questions
  • Design and deploy high-impact Sigma workbooks that guide executives through complex narratives
What we offer
What we offer
  • Restricted Stock Units in a fast growing, well-funded technology company
  • Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents
  • Employer contributions to HSA accounts
  • Paid Parental Leave
  • Paid life insurance, short-term and long-term disability
  • Teladoc
  • 401(k) with a 100% match up to 4% of salary
  • Generous paid time off and holiday schedule
  • Cell phone reimbursement
  • Tuition reimbursement
  • Fulltime
Read More
Arrow Right

Senior Data Analytics & AI Engineer

Global Technology Solutions (GTS) at ResMed is a division dedicated to creating ...
Location
Location
Ireland , Dublin
Salary
Salary:
Not provided
resmed.com Logo
ResMed
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Extensive hands-on experience as a senior IC in data engineering, analytics engineering, or data architecture (typically 6+ years)
  • Expert-level SQL and data modeling skills on large-scale platforms (Snowflake preferred)
  • Strong experience building production data pipelines and models using Python, cloud services, and modern data stack tools
  • Proficiency with dbt or similar transformation frameworks
  • Demonstrated ability to set technical direction, define architectural patterns, and establish engineering best practices
  • Solid experience with Git/GitHub workflows, including branching strategies and collaborative development
  • Experience building and maintaining CI/CD pipelines in GitHub Actions, including automated testing and secure deployments
  • Ability to operate across both analytics engineering and data engineering responsibilities
  • Experience with cloud platforms such as AWS or GCP
Job Responsibility
Job Responsibility
  • Design data and AI products and applications consisting of system integrations, data model transformations and user interfaces while aligning with engineering best practices across teams
  • Build and evolve data pipelines using Python, Spark, APIs, connector frameworks, and other ingestion technologies while considering automation, observability, and resilient design patterns
  • Design high-quality Snowflake/dbt models, implement governance and testing standards, and mentoring less experienced engineers in scalable modeling and system design
  • Collaborate cross-functionally with product, engineering, and data science to shape impactful, scalable solutions
  • Drive future advanced analytics and ML capabilities by defining feature pipelines, supporting classical ML models, and enabling new AI-driven workloads including LLM-based and hybrid ML/AI architectures
What we offer
What we offer
  • Bonus plan
  • Working from home flexibility
  • Referral bonus
  • Preferred shareholding programme
  • Competitive benefits (Pension, Long-Term Illness Protection, Health Insurance...)
  • Internal career opportunity
  • Fulltime
Read More
Arrow Right

Senior Data Engineer - Derivatives Trading Analytics

Equities Technology at Citi is undertaking a bold, multi‑year transformation to ...
Location
Location
Canada , Mississauga
Salary
Salary:
120800.00 - 170800.00 USD / Year
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6-10 years of relevant strong experience with the Python data engineering stack, including Polars, open table formats, FastAPI, and Airflow
  • Experience with high-performance data stores and query engines such as Trino and KDB
  • Experience working with Docker or similar container orchestrations technologies
  • Experience with financial products such as equities, options, and futures
  • Demonstrable experience with agentic frameworks for software development and AI-native solutions using context-engineering techniques
  • Deep understanding of system architecture, data flows, and distributed systems
  • A degree in a computer science, engineering, mathematical or other related discipline
Job Responsibility
Job Responsibility
  • Build our data platform using a modern data engineering stack
  • Create data pipelines and services for market data, trade data, and derived analytics, to power tools for trade idea generation, volatility analysis, flow analysis, basket/index analytics and more
  • Partner closely with traders and quants to productionize data and analytical workflows
  • Fulltime
Read More
Arrow Right