Data Engineer Lead

We are Merlin Digital Partner! A leading IT and Digital headhunting company who stands out from the crowd, boasting over a decade of experience. We've successfully collaborated and played a pivotal role in the growth of industry heavyweights such as Wallapop, Glovo, Banc Sabadell, and Factorial, among others.

Our emphasis lies in people-centric approaches and optimizing the selection processes. Our mission is to revolutionize companies by seamlessly integrating top-tier talent. What sets us apart is our in-depth understanding of each partner (being their best influencer!), addressing not only their needs but also capturing their essence.

We are currently seeking a Data Engineer Lead to work with one of our partners, under contract with Merlin (maximum one year with possible client incorporation thereafter).

Our partner, a major multinational in the consumer goods sector, operates in a fast-changing environment, driven by big data and digital technologies that are transforming the business and generating innovations in areas such as e-commerce and IoT. They are looking to optimize enterprise data within the Data Operations team to achieve agility in decision-making

As the Data Engineering Manager, you will be the key technical expert responsible for overseeing the construction and operations of our partner's data products, and leading a strong vision on how data engineering can proactively create a positive impact on the business

The Role:

• Provide leadership and management to a team of data engineers, managing processes and their flow of work, vetting their designs, and mentoring them to realize their full potential.
• Act as a subject matter expert across different digital projects.
• Oversee work with internal clients and external partners to structure and store data into unified taxonomies and link them together with standard identifiers.
• Manage and scale data pipelines from internal and external data sources to support new product launches and drive data quality across data products.
• Build and own the automation and monitoring frameworks that captures metrics and operational KPIs for data pipeline quality and performance.
• Responsible for implementing best practices around systems integration, security, performance and data management.
• Empower the business by creating value through the increased adoption of data, data science and business intelligence landscape.
• Evolve the architectural capabilities and maturity of the data platform by engaging with enterprise architects and strategic internal and external partners.
• Develop and optimize procedures to “productionalize” data science models.
• Define and manage SLA’s for data products and processes running in production.
• Support large-scale experimentation done by data scientists.
• Prototype new approaches and build solutions at scale.
• Research in state-of-the-art methodologies.
• Create documentation for learnings and knowledge transfer.
• Create and audit reusable packages or libraries.

Please, consider applyng if you have:

• 8 years of overall technology experience that includes at least 6 years of hands-on software development, data engineering, and systems architecture.
• 6 years of experience with Data Lake Infrastructure, Data Warehousing, and Data Analytics tools.
• 6 years of experience in SQL optimization and performance tuning, and development experience in programming languages like Python, PySpark, Scala etc.).
• 4 years in cloud data engineering experience in at least one cloud (Azure, AWS, GCP).
• Fluent with Azure cloud services. Azure Certification is a plus.
• Experience scaling and managing a team of engineers.
• Experience with integration of multi cloud services with on-premises technologies.
• Experience with data modeling, data warehousing, and building high-volume ETL/ELT pipelines.
• Experience with data profiling and data quality tools like Apache Griffin, Deequ, and Great Expectations.
• Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets.
• Experience with at least one MPP database technology such as Redshift, Synapse or SnowFlake.
• Experience with running and scaling applications on the cloud infrastructure and containerized services like Kubernetes.
• Experience with version control systems like Github and deployment & CI tools.
• Experience with Azure Data Factory, Azure Databricks and Azure Machine learning tools.
• Experience with Statistical/ML techniques is a plus.
• Experience with building solutions in the retail or in the supply chain space is a plus
• Understanding of metadata management, data lineage, and data glossaries is a plus.
• Working knowledge of agile development, including DevOps and DataOps concepts.
• Familiarity with business intelligence tools (such as PowerBI).
• BA/BS in Computer Science, Math, Physics, or other technical fields.

• Preferably some experience in the Consumer Goods Industry

• Any experience, passion for / interest in Corporate Social Responsibility & Sustainability topics (spanning agriculture, climate, water, packaging, emissions, etc.) is considered an added advantage to the role

We offer:

• Initial 1-year project with the possibility of incorporation into the client.
• You will have the opportunity to work with one of the most powerful consumer goods corporations currently.
• Collaborative and innovative work culture.