Tech Lead Cloud Data Engineer (F/H) at Talan

Tech Lead Cloud Data Engineer (F/H) - Talan Lille

📍 Job Overview

Job Title: Tech Lead Cloud Data Engineer (F/H)
Company: Talan
Location: Lille, France
Job Type: Hybrid (3 days in the office)
Category: Data Engineering, Cloud Technologies
Date Posted: June 19, 2025
Experience Level: 5-10 years
Remote Status: Hybrid

🚀 Role Summary

Lead Cloud Data Engineering projects using Cloud SQL technologies (Databricks, Snowflake, Microsoft Fabric, etc.) to address clients' strategic needs.
Collaborate with cross-functional teams to define and implement data solutions that drive business value.
Foster a culture of technical excellence, knowledge sharing, and continuous learning within the team.

📝 Enhancement Note: This role requires a strong background in data engineering, cloud technologies, and stakeholder management. The ideal candidate will have experience leading teams and driving data-driven projects to successful completion.

💻 Primary Responsibilities

Technical Leadership: Analyze business needs, define SQL solution architectures, and develop and optimize data pipelines. Conduct code reviews and maintain DevOps practices.
Cloud & Data Expertise: Demonstrate proficiency in cloud platforms, data modeling techniques (Data Mesh, Star Schema, DataVault, etc.), and real-time data processing.
Stakeholder Management: Communicate effectively with clients, team members, and other stakeholders to ensure projects meet business requirements and deadlines.
Team Development: Share technical knowledge, provide mentorship, and support the professional growth of team members.
Collaboration & Communication: Work closely with other teams (e.g., Data Science, Data Governance) to ensure data quality, security, and compliance with regulations.

📝 Enhancement Note: The role requires a balance of technical depth and leadership skills. The ideal candidate will have a proven track record in data engineering, cloud technologies, and team management.

🎓 Skills & Qualifications

Education: Master's degree or higher in Computer Science, Engineering, or a related field with a strong focus on data and cloud technologies.

Experience: 5-10 years of experience in data engineering, cloud technologies, and team leadership. Proven experience in consulting and driving data projects to successful completion.

Required Skills:

Proficiency in SQL, Python, and cloud platforms (Databricks, Snowflake, GCP, Azure, Microsoft Fabric, etc.)
Strong data modeling and data pipeline development skills
Experience with real-time data processing and data storage methods (Azure Data Lake Store, S3, etc.)
Familiarity with DevOps practices and Agile methodologies
Excellent communication and collaboration skills
Strong problem-solving abilities and a customer-focused mindset

Preferred Skills:

Experience with DataOps, FinOps, and Green Data practices (Cloud Carbon Footprint, etc.)
Knowledge of industry-specific data challenges and solutions (e.g., transport, energy, finance, etc.)
Familiarity with data governance, data quality, and data security best practices

📝 Enhancement Note: The ideal candidate will have a strong background in data engineering, cloud technologies, and team leadership. Relevant industry experience and a customer-focused mindset are also valuable assets.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

A well-structured portfolio showcasing your data engineering projects, with a focus on cloud technologies, data modeling, and real-time data processing.
Clear documentation of your approach, the technologies used, and the outcomes achieved.
Examples of your problem-solving skills, innovation, and adaptability in the face of technical challenges.

Technical Documentation:

Detailed project case studies, including data pipeline design, data modeling techniques, and cloud infrastructure setup.
Code snippets and examples demonstrating your proficiency in SQL, Python, and cloud platforms.
Documentation of your approach to data quality, data governance, and data security.

📝 Enhancement Note: A strong portfolio will demonstrate your technical expertise, problem-solving skills, and ability to drive data projects to successful completion. Focus on quality, clarity, and relevance to the role.

💵 Compensation & Benefits

Salary Range: €60,000 - €80,000 per year (based on experience and market research for the Lille region)

Benefits:

Comprehensive health insurance (80% covered by the company)
Employee shareholding scheme
Vacation bonus
Extensive training opportunities (catalog of over 1,500 courses)
Flexible work arrangements (up to 2 days of remote work per week)
Close proximity to public transportation
Modern, collaborative work environment

📝 Enhancement Note: The salary range is estimated based on market research for the Lille region and the candidate's level of experience. Benefits are subject to change and may be influenced by the company's policies and the candidate's employment status.

🎯 Team & Company Context

Company Culture:

Industry: Consulting and Technology
Company Size: Medium (20+ countries, 7,000+ employees)
Founded: 1999
Team Structure: Collaborative, cross-functional teams with a strong focus on knowledge sharing and continuous learning.
Development Methodology: Agile, with a focus on iterative development, continuous integration, and delivery.

📝 Enhancement Note: Talan's culture emphasizes collaboration, knowledge sharing, and continuous learning. The company values diversity, inclusion, and work-life balance.

Career & Growth Analysis:

Web Technology Career Level: Senior Data Engineer / Tech Lead
Reporting Structure: Reports directly to the Data Intelligence Director, with matrix reporting to project managers and other stakeholders.
Technical Impact: Leads data engineering projects, defines data strategies, and drives data-driven decision-making across the organization.

Growth Opportunities:

Technical career progression, including architecture and management roles.
Specialization in emerging data technologies, such as Data Mesh, DataVault, or real-time data processing.
Opportunities to work on international projects and gain exposure to diverse industries and cultures.

📝 Enhancement Note: Talan offers strong career growth opportunities, with a focus on technical specialization and leadership development. The company encourages employees to take on new challenges and expand their skill sets.

🌐 Work Environment

Office Type: Modern, collaborative workspace with a focus on comfort, productivity, and team interaction.

Office Location(s): Lille, France (with opportunities for remote work and international travel)

Workspace Context:

Access to multiple monitors, testing devices, and development tools.
Collaborative workspaces designed to facilitate team interaction and knowledge sharing.
Flexible work arrangements, with opportunities for remote work and international travel.

Work Schedule: Full-time (37.5 hours per week), with flexible working hours and opportunities for remote work.

📝 Enhancement Note: Talan's work environment emphasizes collaboration, comfort, and productivity. The company offers flexible work arrangements to support work-life balance and employee well-being.

📄 Application & Technical Interview Process

Interview Process:

Phone/Skype Screen: A brief conversation to assess cultural fit and technical proficiency.
Technical Assessment: A hands-on assessment focusing on data modeling, cloud technologies, and real-time data processing.
Behavioral Interview: An in-depth discussion of your problem-solving skills, leadership experience, and cultural fit.
Final Interview: A meeting with the hiring manager to discuss your career aspirations, growth opportunities, and any remaining questions.

Portfolio Review Tips:

Highlight your most relevant data engineering projects, with a focus on cloud technologies, data modeling, and real-time data processing.
Prepare clear, concise documentation of your approach, the technologies used, and the outcomes achieved.
Be ready to discuss your problem-solving skills, innovation, and adaptability in the face of technical challenges.

Technical Challenge Preparation:

Brush up on your SQL, Python, and cloud platform skills.
Practice data modeling exercises and real-time data processing scenarios.
Familiarize yourself with Talan's technology stack and data engineering best practices.

📝 Enhancement Note: The interview process is designed to assess your technical proficiency, problem-solving skills, and cultural fit. Preparation and research will help you make a strong impression and increase your chances of success.

🛠 Technology Stack & Web Infrastructure

Cloud Platforms:

Databricks
Snowflake
Microsoft Fabric
GCP
Azure

Data Modeling Techniques:

Data Mesh
Star Schema
DataVault

Real-Time Data Processing:

Apache Kafka
Apache Spark Streaming
Amazon Kinesis
Azure Event Hubs

Data Storage:

Azure Data Lake Store
Amazon S3
Google Cloud Storage

DevOps Tools:

Jenkins
GitLab CI/CD
Terraform
Ansible

📝 Enhancement Note: Talan's technology stack emphasizes cloud platforms, data modeling, and real-time data processing. Familiarity with these technologies is essential for success in this role.

👥 Team Culture & Values

Web Development Values:

Customer focus and satisfaction
Technical excellence and continuous learning
Collaboration and knowledge sharing
Innovation and adaptability
Data-driven decision-making and continuous improvement

Collaboration Style:

Cross-functional collaboration with data science, data governance, and other teams.
Agile methodologies, including iterative development, continuous integration, and delivery.
Regular code reviews, pair programming, and knowledge sharing sessions.

📝 Enhancement Note: Talan's culture emphasizes collaboration, knowledge sharing, and continuous learning. The company values diversity, inclusion, and work-life balance.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Designing and implementing scalable, secure, and efficient data pipelines in cloud environments.
Developing and optimizing data models to support complex business requirements and analytics.
Integrating real-time data processing and analysis into existing data pipelines and workflows.

Learning & Development Opportunities:

Specialization in emerging data technologies, such as Data Mesh, DataVault, or real-time data processing.
Gaining international experience and exposure to diverse industries and cultures.
Developing leadership skills and taking on more significant technical and management responsibilities.

📝 Enhancement Note: Talan offers strong technical challenges and growth opportunities, with a focus on continuous learning, innovation, and adaptability.

💡 Interview Preparation

Technical Questions:

Data modeling and architecture design questions, focusing on cloud technologies and real-time data processing.
Scenario-based questions assessing your problem-solving skills, innovation, and adaptability.
Technical deep dives into specific data engineering topics, such as data quality, data governance, or data security.

Company & Culture Questions:

Questions about Talan's culture, values, and work environment.
Questions about your career aspirations, growth opportunities, and long-term goals.

Portfolio Presentation Strategy:

Highlight your most relevant data engineering projects, with a focus on cloud technologies, data modeling, and real-time data processing.
Prepare clear, concise documentation of your approach, the technologies used, and the outcomes achieved.
Be ready to discuss your problem-solving skills, innovation, and adaptability in the face of technical challenges.

📝 Enhancement Note: The interview process is designed to assess your technical proficiency, problem-solving skills, and cultural fit. Preparation and research will help you make a strong impression and increase your chances of success.

📌 Application Steps

To apply for this Tech Lead Cloud Data Engineer (F/H) position at Talan:

Submit your application through the provided link.
Customize your portfolio to highlight your data engineering projects, with a focus on cloud technologies, data modeling, and real-time data processing.
Optimize your resume for web technology roles, emphasizing your project highlights and technical skills.
Prepare for the technical interview, focusing on data modeling, cloud technologies, and real-time data processing.
Research Talan's company culture, values, and work environment to ensure a strong cultural fit.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and web technology industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

Tech Lead Cloud Data Engineer (F/H)