Data Engineer – Lead

We are looking for an experienced Data Engineer – Lead professional to join our ABI Team in Mexico City as Data Engineer – Lead.

Requirements

What we offer 

• Opportunity to accelerate the pace of growth in digitalisation through advanced technology intelligence, and analytics 
• Driving high-impact insights enhancing decision-making 
• Interaction with senior stakeholders on regular basis to drive their business towards impactful change 
• Driving brand equity and digital sales through enhanced digital experiences 
• Opportunities to grow using a variety of tools to support development, such as mentoring, coaching and team building 
• Flexible remote working policy
• Become part of a fast-growing international and diverse team

Who we are

We are Metyis, a forward-thinking, global company that collaborates with business partners and clients to create and implement the capacities and capabilities required to improve future performance. We operate across a wide range of industries, and with our embedded partnership model we commit to driving sustainable growth for industry-leading organisations, elevating their potential with a long-term vision.



At Metyis, we develop integrated solutions that enable growth by working within our business partners’ organisations with diverse and multidisciplinary teams. This collaborative environment allows Metyis to build strategies and execute them through an ecosystem that combines Big Data solutions, Digital Commerce solutions, Marketing & Design solutions, and Advisory services.



Metyis is on a mission to ensure the already thriving (digital) growth and ambitions of our client: a best-in-class distributor of more than thirty international and highly recognized brands in Mexico and Chile, from physical to digital stores. Together, we aim to be a digital-first and data-driven organization to become the platform of choice for Latin American consumers and brands. Metyis and our client will join forces to realize this ambition through a Digital Campus based in both Mexico City and Barcelona.



Our client is a leading retail ecosystem in with a unique portfolio of 30 exclusive brand partnerships and owned brands in the apparel, footwear, athletics, fashion accessories, beauty and personal care product categories. The company has strong brand integration capabilities, preserving the image and concepts of each brand while optimizing resources for a winning strategy. As a result, iconic brands such as Nike, Calvin Klein, Tommy Hilfiger, Guess, The Athlete Foot and Victoria’s Secret are just a few of the strategic partners who have been working with our client whilst the brand portfolio continues to expand.

What you will do  

• Identify data ingestion opportunities that unlock insights, extract them, and organise them in a widely available, scalable way that answers any critical use case. You will also team up with data scientists to ensure a constant feed of fresh data into machine learning models and support the organisation of any performance-related metrics and data
• Support executing Big Data strategies by designing and building reusable components, frameworks, and libraries at scale to support analytics products
• Design, build and launch extremely efficient and reliable data pipelines to move data across several platforms, including data warehouses, data lakes, operational systems, online services, and real-time systems
• Anticipate, identify, and solve issues concerning data management to improve data quality
• Organise and lead sharing sessions with peers, customers and functional partners and contribute to evangelising data engineering practices
• Guide and mentor new team members
• Collaborate closely with partners, strategy consultants and data scientists in a flat and agile organisation where personal initiative is highly valued
• Organise and direct collaborative project efforts

What you’ll bring  

• 6+ years of experience in the data engineering domain
• BA or MS in Computer Science, Information Technologies, or relevant fields
• Proven experience in software development and practices and distributed programming with at least one programming language (e.g., R, Python, Java, or C#)
• Proven experience in SQL & NoSQL
• Must-have skillsets: Pyspark, SQL, Azure Data Factory, Databricks, Storage account, Key Vault, Dimensional modelling, Azure DevOps, Azure Pipelines
• Nice-to-have skillsets: Terraform, Azure Networking, Azure Synapse, PowerBI & MLOps Experience working setting up data lakes using entire Big Data (e.g., Hadoop, Spark, Presto, Hive, Impala, etc.) and DWH ecosystem
• Experience using Version Control, Testing and development cycle, preferable git (Gitlab or GitHub)
• Comfortable with Unix OS type systems, Bash, and Linux
• Experience working on Hyperscalers – Azure, AWS, GCP
• Experience in data workflows and ETL, Apache Airflow
• Verbal and written communication skills in English and preferred in Spanish; ability to communicate to the senior executives

In a changing world, diversity and inclusion are core values for team well-being and performance. At Metyis, we want to welcome and retain all talents, regardless of gender, age, origin or sexual orientation, and irrespective of whether or not they are living with a disability, as each of them has their own experience and identity.