Data Engineer Lead - Barcelona, España - Merlin Digital Partner

Merlin Digital Partner

Empresa verificada

Barcelona, España

hace 2 semanas

Publicado por:

Isabel García

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Descripción

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.
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 largescale experimentation done by data scientists.
Prototype new approaches and build solutions at scale.
Research in stateoftheart 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 onpremises technologies.
Experience with data modeling, data warehousing, and building highvolume 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 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, packagi