Data & Machine Learning Engineering Lead

About Us

We are a global leader in food & beverage ingredients. Pioneers at heart, we operate at the forefront of consumer trends to provide food & beverage manufacturers with products and ingredients that will delight their consumers. Making a positive impact on people and planet is all part of the delight. With a deep-rooted presence in the countries where our ingredients are grown, we are closer to farmers, enabling better quality, and more reliable, traceable and transparent supply. Supplying products and ingredients at scale is just the start. We add value through our unique, complementary portfolio of natural, delicious and nutritious products. With our fresh thinking, we help our customers unleash the sensory and functional attributes of cocoa, coffee, dairy, nuts and spices so they can create naturally good food & beverage products that meet consumer expectations. And whoever we’re with, whatever we’re doing, we always make it real.

About The Role

At ofi, we are on a mission to leverage data to drive innovation and business transformation. We are looking for a Data & ML Engineering Lead to spearhead our engineering team and contribute to our mission of delivering data-driven solutions. As a Data & ML Engineering Lead, you will be responsible for managing the engineering team and overseeing the design and implementation of our data infrastructure. You will work closely with data scientists, analysts, and other stakeholders to ensure the seamless flow and integrity of data across the organization.

Job Description

Key Responsibilities:

1.    Data Engineering:

• ETL: Design ETL processes and workflows that can provide sustainable access to an evolving data platform.
• Tooling: Use technologies like Python, SQL, container technologies such as Docker and Kubernetes, cloud solutions such as Azure to acquire, ingest and transform big datasets.
• Infrastructure: Manage data infrastructure including Snowflake data warehouse in a way that data consumers have efficient access (dependency management, data integrity, database optimization).
• Governance: Lead rollout of data governance & security systems.
• Data assets: Participate in data collection, collation, structuring and cleaning. Maintain data quality through statistical control.
• Tool development: Develop tools that support access, integration, modelling and visualizing of data.
• Software development: Ensure code is maintainable, scalable and debuggable.

2.    Machine Learning:

• Front-end integration: Enable model output consumption by the organization by designing and orchestrating production pipeline and front-end integration (e.g., w/ salesforce).
• Maintenance: Ensure production tasks execute free of interruption and on schedule.
• Software development: ensure that data science code is maintainable, scalable and debuggable.
• Tool development: Automate repeatable routines present in ML tasks (offering templates for ML solution deployment) and drive performance improvement in production environment. 
• Performance optimization: find run-time performance improvement and decide which ML technologies will be used in production environment.

3.    Platform Ownership:

• Platform ownership: End-on-end platform ownership including stakeholders’ management.
• Architecture strategy: Implement data and ML architecture based on business goals.
• Project management: Manage resourcing and timelines for projects related data engineering and model operationalization life cycles

4.    Individual skills & mindset 

• Problem solving: Fierce curiosity, strong analytical skills and strong sense of ownership 
• Collaboration: Build a sense of trust and rapport that creates a comfortable & effective workplace and an ability to work as part of an agile team (product owner, developers, etc.)
• People leading: Coach data and ML engineers and analytics COE members
• Team-player: Contribute to knowledge development (e.g., tools and code base)

Qualifications

• Bachelor’s or master’s degree in Computer Science, Data Analytics, Data Science, Information Technology, etc.
• Proven 8+ years of experience in data engineering, with 2+ years as the Data Engineering Lead. 
• Proficiency in data pipeline tools and technologies, particularly within the Snowflake ecosystem.
• Extensive experience with SQL databases and multiple programming languages.
• Experience in working with data quality tools such as Informatica.

Preferred Skills:

• Knowledge of SAP ERP (S4HANA and ECC) including its integration with Snowflake.
• Functional understanding of customer experience, manufacturing, supply chain, and financial concepts
   

ofi is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, nationality, disability, protected veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law.

Applicants are requested to complete all required steps in the application process including providing a resume/CV in order to be considered for open roles.