Senior Data Engineer (H/F) (IT)

Define and lead the overall data architecture strategy, ensuring data platforms support analytics, AI, reporting, and enterprise decision‑making.
Design and implement scalable, secure, and reliable data infrastructure aligned with current business needs and future growth.
Partner with data engineers, software architects, IT operations, and business stakeholders to translate requirements into implementable architectures.
Establish and maintain data management practices, including security, recovery, backup, metadata, lineage, and data quality standards.
Document and maintain current and target‑state data architectures, integrations, pipelines, and data flows.
Evaluate and recommend technologies to improve data accessibility, performance, and governance.
Communicate data strategies and architectural decisions clearly to both technical and non‑technical audiences.
Promote data literacy and contribute to fostering a strong, data‑driven culture across the organization.
5+ years of experience in data architecture or a related role such as data engineering or software architecture.

• Degree or diploma in Computer Science, Data Engineering, Information Systems, or a related field.
• Hands‑on experience with modern cloud data platforms, particularly Microsoft Azure data and analytics services.
• Strong background in relational databases and data modeling techniques, including dimensional, relational, and analytical models.
• Experience with modern business intelligence and reporting tools.
• Ability to define and communicate long‑term data strategies to both technical and non‑technical stakeholders.
• Proven ownership mindset with the ability to carry initiatives from analysis through delivery and documentation.

MPI does not discriminate on the basis of race, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, or based on an individual's status in any group or class otherwise protected under applicable human rights legislation. MPI encourages applications from minorities, women, the disabled and all other qualified applicants

The successful candidate is a strategic, hands‑on data architect who combines deep technical expertise with strong business acumen. They are comfortable leading end‑to‑end data architecture initiatives, translating complex requirements into scalable solutions, and clearly communicating data strategies to both technical and non‑technical stakeholders.
Own and shape the enterprise data architecture, influencing how data is used as a strategic asset across the organization.
Partner closely with senior IT and business leaders, building credibility as a trusted data leader.
Work hands‑on with a contemporary Azure‑based data stack, including analytics, AI, and governance capabilities.
Play a key role in advancing data maturity, governance, and a data‑driven culture.
Long‑term value creation: Design scalable, future‑ready solutions that support both immediate needs and long‑term business growth.