Data Engineer in Industrial Domain

The Company

Imerys is the world’s leading supplier of mineral-based specialty solutions for the industry with 3.8 billion in revenue and 13,700 employees in 54 countries in 2023. The Group offers high value-added and functional solutions to a wide range of industries and fast-growing markets such as solutions for the energy transition and sustainable construction, as well as natural solutions for consumer goods. Imerys draws on its understanding of applications, technological knowledge, and expertise in material science to deliver solutions which contribute essential properties to customers’ products and their performance. As part of its commitment to responsible development, Imerys promotes environmentally friendly products and processes in addition to supporting its customers in their decarbonization efforts.

Job Purpose

Early 2018, Imerys has launched an ambitious internal transformation program to foster efficiency within the group: MAKE IT #1. MAKE IT#1 Group wide digital transformation is reshaping Imerys Digital landscape, encompassing 5 pillars: a set of common language and processes, a global ERP Core Model S4/Hana based, a common collaboration platform (GNOC, GSOC, unified WAN) and a common unified IT organization.

MAKE IT #1 aims at implementing common IT Tools for our business units / divisions. In order to enable seamless development and roll out of these new tools, Imerys IT is also moving from IT division centric organization to a more integrated IT with robust regional IT platform.

This position is part of the Data &Integration department in the Data Engineering &Analytics team.

The Data Engineer covers any topics related to Data Lake (projects and existing applications) : orchestrate the Big data platform and build the assets of the Data Lake in interfacing with the various business of the branches and the technical teams of the group.

Part of the team, the Data Engineer helps to maintain our legacy BI landscape.

Responsibilities

• Design and build Data lake solutions. Identify and propose improvements (data scope in the data platform, data feeds simplification, data platform enrichment) from an end-user perspective

• Formalize, assess and optimize, with business representatives from Business Areas and Functions, the system solutions to support processes. Advise and support business, and manage requests for changes around the data lake platform

• Maintain existing data lake and BI applications

• Ensure compliance with best practices and the validity of the architecture of our information systems. Ensure the governance of its topics and monitor the performance of the change management of systems and actions

• Interact with Infrastructure teams to ensure the performance of the application portfolio

• Work closely with the IT BPs to organize, follow-up and contribute to appraise business demands, propose solutions and engage with IT teams for implementation

• Coordinate with all IT teams necessary with actions to simplify, automate and make the technology landscape more sustainable (replacing non secure tools, for example)

• Promote the Data Platform of the group

• Assist project managers in their projects when needed

• Ensure a technology watch on relevant domain(s)

Qualifications &Experience

Essential

• Bachelor’s or Master’s Degree in Computer Science, Information Systems, or Engineering

• 2 years minimum of practical experience in projects with Data Lake Platform

• Experience implementing, migrating, managing BI and Data lake applications (ETL included)

• Fluent or native English speaker

• Python development language

• Knowledge and experience with AWS Applications

Desirable

• Knowledge of Industrial domain (applications, data, ...)

• Knowledge of SAP Data Services

• Knowledge of reporting tools (SAP Analytics Cloud)

• Knowledge of Imerys internal organization

• Knowledge of Agility methodology (Scrum, ...)

• Experience of working within a culturally diverse global company

• Conversant in French or another European language would be advantageous

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