Data Engineer
Paris / €55000 - €65000 annum
INFO
€55000 - €65000
LOCATION
Paris
Permanent
DATA ENGINEER
Paris
2j TT/semaine
Jusqu'à 60K euros fixe + 10% de variable
Nous recherchons aujourd'hui un profil Data Engineer pour rejoindre une scale-up du domaine des médias. Vous rejoindrez une équipe à taille humaine, composée de 3 autres Data Engineers. Vous aurez pour mission de participer aux développement des projets data de l'entreprise et de vous assurer de la bonne mise en oeuvre de ces projets.
Missions :
- Travailler sur des sujets API
- Travailler sur des sujets de Data Retrieval essentiellement (pas de Data Transformation)
- Créer des ETL pour s'assurer de l'accessibilité de la data
- Travailler en étroite collaboration avec les équipes Data Scientist
- Manipuler 1 terrabyte de données tous les jours
Profil recherché :
- Bac+5 Top 10 Ecole d'Ingénieur, spécialisation Mathématiques/Data/Statistiques
- 2 ans d'expérience post-diplôme minimum
- Maîtrise de Python et SQL
- Avoir travaillé sur des sujets API et sur de la création d'ETL
- Les maîtrises d'un cloud public et de Kubernetes sont fortement appréciées
- Anglais courant obligatoire

SIMILAR
JOB RESULTS

Senior DevOps Engineer
Bristol
£85000 - £95000
+ Data Engineering
PermanentBristol
Role: Senior DevOps Engineer
Salary: £95,000 + 5% Bonus
Location: Bristol (Ideally 1 day a month but flexible)
Overview
A leading international law firm is seeking a Solutions DevOps Engineer to support the deployment of AI and LLM-powered tools. You’ll work closely with engineering, infrastructure, and product teams to automate deployments, drive cloud efficiency, and ensure secure, scalable delivery of next-gen legal tech.
Key Responsibilities
-
Deploy enterprise-grade AI apps using infrastructure as code
-
Automate development, testing, and release pipelines
-
Collaborate with developers and stakeholders to deliver scalable solutions
-
Act as technical lead on internal and vendor-led projects
-
Provide Level 3 support and resolve production incidents
-
Integrate the latest NLP/LLM advancements into real-world tools
-
Ensure systems meet security, performance, and compliance standards
-
Contribute to continuous improvement and strategic planning
Ideal Candidate
-
5+ years in infrastructure, 3+ in DevOps (Azure-focused)
-
Skilled in Microsoft Azure, incl. networking and security
-
Proficient in Python and familiar with ML/AI frameworks
-
Strong communicator with a practical, problem-solving mindset
-
Collaborative, quality-focused, and committed to continuous learning
-
Comfortable with occasional out-of-hours work or travel
Tech Stack / Tools
-
Microsoft Azure
-
Azure Document Intelligence
-
Azure Networking & Security
-
Infrastructure as Code (Terraform, ARM)
-
Python
-
ML frameworks (e.g., Hugging Face, OpenAI)
-
CI/CD pipelines
-
DevOps automation tooling

Senior DevOps Engineer
Bristol
£85000 - £95000
+ Data Engineering
PermanentEngland
To Apply for this Job Click Here
Senior DevOps Engineer
Salary: £95,000
Fully Remote (1 day a month ideally in Bristol)
Overview
A leading international law firm is seeking a Solutions DevOps Engineer to support the deployment of AI and LLM-powered tools. You’ll work closely with engineering, infrastructure, and product teams to automate deployments, drive cloud efficiency, and ensure secure, scalable delivery of next-gen legal tech.
Key Responsibilities
-
Deploy enterprise-grade AI apps using infrastructure as code
-
Automate development, testing, and release pipelines
-
Collaborate with developers and stakeholders to deliver scalable solutions
-
Act as technical lead on internal and vendor-led projects
-
Provide Level 3 support and resolve production incidents
-
Integrate the latest NLP/LLM advancements into real-world tools
-
Ensure systems meet security, performance, and compliance standards
-
Contribute to continuous improvement and strategic planning
Ideal Candidate
-
5+ years in infrastructure, 3+ in DevOps (Azure-focused)
-
Skilled in Microsoft Azure, incl. networking and security
-
Proficient in Python and familiar with ML/AI frameworks
-
Strong communicator with a practical, problem-solving mindset
-
Collaborative, quality-focused, and committed to continuous learning
-
Comfortable with occasional out-of-hours work or travel
Tech Stack / Tools
-
Microsoft Azure
-
Azure Document Intelligence
-
Azure Networking & Security
-
Infrastructure as Code (Terraform, ARM)
-
Python
-
ML frameworks (e.g., Hugging Face, OpenAI)
-
CI/CD pipelines
-
DevOps automation tooling
To Apply for this Job Click Here

Data Steward
London
£40000 - £50000
+ Data Management & Governance
PermanentLondon
To Apply for this Job Click Here
Data Steward
Salary: £50,000
WFH: 4 days a week in office (Charing Cross/Picadilly Circus)
We’re hiring on behalf of our client, a leading global private markets investment firm, for a newly created Financial Data Steward role within their Portfolio Analytics team. This position is based in London and plays a vital part in shaping the firm’s approach to financial data governance, quality, and reporting.
Role overview:
As Financial Data Steward, you will champion best practices in data integrity across finance workstreams, ensuring that fund, portfolio, and investor-level datasets are complete, accurate, and reliable. You’ll lead data quality initiatives, build internal dashboards, and work across teams to embed a culture of “right-first-time” data management.
Key responsibilities:
- Reconcile data across internal systems (GL, portfolio monitoring, CRM) and third-party sources (fund admins, custodians, vendors)
- Maintain the Finance Data Catalogue – defining ownership, lineage, and golden sources
- Build Power BI dashboards to track data quality metrics, reconciliation exceptions, and performance insights
- Define and enforce data quality rules to improve accuracy, completeness, and timeliness
- Provide training, documentation, and day-to-day support to enhance data literacy across Finance
About you:
- Experience reconciling complex financial datasets from internal and external sources
- Skilled in defining and monitoring data quality using KPIs and automated controls
- Proficient in Excel and Power BI for analysis and reporting
- Strong communication skills and confidence working across business, technical, and analytics teams
- Detail-oriented with sound analytical judgement and a proactive mindset
This is a great opportunity to build out data foundations and governance processes that directly support investment decision-making and operational excellence.
To find out more or apply, please get in touch.
#DataSteward #DataGovernance #FinanceData #PowerBI #PrivateMarkets #DataQuality #Hiring #LondonJobs #InvestmentData
To Apply for this Job Click Here

Power Platform Developer
London
£375 - £450
+ Data Engineering
ContractLondon
To Apply for this Job Click Here
Freelance Opportunity: Power Platform Developer (Power Automate + Dataverse)
Contract | 1 Month Project | Remote | Start in 1-2 Weeks
We’re looking for one or two experienced Power Platform Developers for a focused, high-impact project with strong potential for future expansion.
Project Overview
You’ll be responsible for:
-
Integrating and leveraging Microsoft Dataverse APIs
-
Building Power Automate flows to extract backend and frontend form data
-
Creating structured templates
-
Automating email delivery of outputs to key stakeholders
Timeline:
-
Approx. 1-month project
-
Delivery deadline: End of June
-
Start date: Within 1-2 weeks (pending budget confirmation)
Compensation
-
Daily Rate: £350-450/day
-
Optional Retainer after contract: £300-£400/month for basic ongoing support (likely minimal if built well)
Ideal Candidate(s)
-
Strong hands-on experience with Power Automate, Dataverse, and the Microsoft ecosystem
-
Proven ability to independently scope, build, and deliver solutions on tight timelines
-
Proactive communicator who thrives in fast-moving, flexible environments
Why Join
-
Clear, well-scoped short-term engagement
-
Opportunity to shape an impactful solution from the ground up
-
Remote-friendly, with strong potential for ongoing work and future phases
To Apply for this Job Click Here

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