Data Tech Lead
5 meses atrás
**Do you want a job that matches your ambition and your lifestyle?**
**Read on to discover the profile we're looking for**
From its beginnings as a wool mill, La Redoute is a French brand that has forged unique relationships with its customers for the past 180 years - yesterday through its catalogue, today on the web. We are a mainly digital player, selling fashion as well as home decoration.
Connections weaver, trends discoverer and creator, vector of influence, we create, distribute and deliver our own products. Our mission? Become the # 1 lifestyle platform for all families.
Associated with the Galeries Lafayette group and present in Portugal, in** Leiria,** we are looking for a** Data Tech Lead.**
**Your future job**:
We are seeking an experienced Data Tech Lead to lead and mentor our team of talented Data Engineers. If you have a passion for data, a strong technical background, and exceptional leadership skills, we invite you to join our team and drive our data initiatives to new heights. As a Data Tech Lead at La Redoute, you will play a pivotal role in our data strategy and be responsible for leading a team of Data Engineers. You will collaborate closely with cross-functional teams to define data engineering goals, design robust data solutions, and ensure the successful execution of data projects.
**MAIN RESPONSABILITIES
Team leadership
- Lead and mentor a team of Data Engineers, providing technical guidance and coaching to foster professional growth.
- Set clear goals, priorities, and expectations for the team to deliver high-quality data solutions on time and within scope.
- Foster a collaborative and innovative team culture, promoting knowledge sharing and best practices.
Project Planning and Execution
- Collaborate with stakeholders (mostly Data Architects, business owners, and Project Managers) to define data engineering project requirements and objectives.
- Create and manage project plans, ensuring efficient resource allocation and project delivery. o Oversee the development and deployment of data pipelines, ensuring they meet performance, scalability, and reliability standards.
Technical Expertise
- Stay up to date with the latest data engineering technologies and best practices.
- Provide technical leadership in data architecture design, database optimization, and data integration strategies.
- Review and guide the team in solving complex technical challenges.
Quality Assurance and Documentation
- Implement and maintain data engineering best practices, quality assurance processes, and documentation standards. o Ensure that data solutions adhere to data governance, security, and compliance requirements.
Collaboration and Communication
- Collaborate with Data Architects, Data Engineers, and other cross-functional teams to understand and address their data needs.
- Communicate progress, project status, and potential issues to senior management and stakeholders.
**What’s expected from you**:
- Organized and demonstrate the ability to stay organized.
- Demonstrated ability to understand quickly business and technical requirements of a data pipeline that needs to be developed, and challenge potential misconceptions.
- Demonstrated ability to manage stress in an fast-moving environment.
- Demonstrated clear communication in a fast-moving development environment.
- Demonstrated ability to write and speak fluent English in a working environment.
- Bachelor's or master’s degree in computer science, Engineering, or Science.
- Proven experience as a Data Engineer, or related, with a minimum of 5 years of relevant experience.
- Previous experience with a minimum of 3 years in a leadership or managerial role, with a demonstrated ability to lead and develop a team.
- Proficiency in data engineering good practices such as: o Versioning o Data Architecture o Quality Assurance o Overall ability to dive through IT systems o Overall ability to delineate the business added value of a data project
- Proficiency in data engineering technologies and tools such as: Apache Airflow, Apache Spark, Apache Beam, Google Big Query, Terraform, Kafka and Pub/Sub
- Strong knowledge of data warehousing / data lakes, ETL processes, and data integration methodologies
- Excellent problem-solving skills and the ability to design and implement scalable and reliable data solutions. Exceptional communication and interpersonal skills.
- Experience with cloud platforms (e.g., GCP, Azure, AWS).
**Good reasons to join us**:
- International company
- Hybrid work model (3 days/week working from home vs 1day/week at the office)
- Real sense of community/close-knit office
**This vacancy is aimed for working professionals living in Portugal, no relocation or visa sponsorship is provided**
**Please send your CV in English
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