Data Engineering and Customer Tech Manager

JUST ONE, on behalf of its client, a leader in the digital transformation of retail in several countries, is looking for a Data Engineering and Customer Tech Manager

As a Manager of Data Engineering and Customer Tech,

reporting to the Director of Tech Growth, you will be leading the two strategic

edges of a large retail Group, data driven decision making and customer

obsession. On the first edge, you will be responsible to lead and further

develop the Data Engineering Team to define and evolve existing

infrastructure, processes, and collaboration with business units across the

organization. On the second edge, you will develop and lead a software

engineering team responsible for a set of software products that constitute the

customer technology stack and have customer data in its core, ensuring that

customer data are secure, processing is compliant to laws and regulations

and are used to generate value for customers and the Group.

As described above, this is an engineering – related position, that requires a

great collaboration with both engineering and business units.

Responsibilities:

• Lead a team of Data Engineers and Software Engineers
• Design, implement and maintain data pipelines, ETL processes, and data infrastructure.
• Draft, develop and implement a solid roadmap of the products that constitute the customer tech stack
• Manage relationships with contractors and technology providers for all components and systems related to data engineering and customer tech.
• Initiate, manage and deliver projects maintaining timelines and quality standards.
• Collaborate with Tech Leads and engineers in defining technical approaches, metrics, and timelines.
• Work closely with business analysts across all business units and cross functional teams to better provide them with quality data streams.
• Keep the members of the team motivated and happy, maintaining the high standard for employee happiness established by the organization.
• Focus the team on listening and understanding business needs to propose, demonstrate, design and prototype outstanding technology solutions.
• Establish and implement best practices for data management and governance

Requirements

• At least 4 years of experience in building and leading engineering teams
• Minimum of 1.5 years of production experience in ETL Data pipeline design and implementation using Airflow (or another job management tool) and Python (or Python derivative, like PySpark)

Desired Qualifications:

• Strong understanding of Data management and/or Data governance principles (ensuring data meets expected volume, schema, etc.)
• Data Modelling: Excellent knowledge in designing and implementing data models, including conceptual, logical, and physical data models. Experience with different data modelling techniques.
• ETL (Extract, Transform, Load) Tools: In-depth knowledge of ETL. Understanding of data ingestion, transformation, and loading processes to ensure efficient and accurate data movement. Understanding of workflow scheduling, dependency management, and error handling.
• Data Warehousing: Excellent knowledge with data warehousing concepts, technologies, and design principles. Familiarity with data warehousing platforms. Understanding of database management systems, indexing strategies, query optimization, and performance tuning.
• Data Governance and Security: Knowledge of data governance frameworks, data privacy regulations, and best practices for data security. Familiarity with data encryption, access controls, and data anonymization techniques.
• Data Quality and Testing: Understanding of data quality principles and experience in implementing data quality checks and validations. Proficiency in data profiling, data cleansing, and data validation techniques.
• Self-motivated individual with a mindset of innovation and the ability to lead a team, prioritize tasks & meet deadlines at a top-notch quality level.
• Excellent communication skills, and ability to convey messages while also challenging ideas & assumptions at C-level.
• Be proactive in communicating ideas and challenges.
• Fluency in English.

Benefits

Competitive compensation & benefits package 

• Dynamic work environment 
• Exciting opportunity to grow with the role 
• Great experience in a well-known & respected growing business 
• Learning platform account for continuous learning