Datashift

www.datashift.eu

3 Jobs

142 Employees

About the Company

If you nod while reading the following statements, we would be very happy to Achieve. Impact. Together. Contact us at info@datashift.eu.

- You are overwhelmed with data, but find it hard to get business insights of of them?
- Even though a data warehouse is in place, it still takes days to get reports and analysis?
- You want to become more data-driven, but find it difficult to differentiate hype from true business opportunity?

Datashift specializes in Artificial Intelligence, Business Analytics, Data Governance, Data Science & Engineering. We team up with our clients to create long-term value using their data. We pride ourselves on working closely together with them, developing a relationship built on mutual trust, and inspiring the people we interact with. And while we are committed to delivering solutions that answer business questions with facts and figures, that is not where it ends for us. We remain relentlessly focused on sustaining our clients in achieving their ambitions and deploying data to create a profound impact on business, increasing revenue, reducing costs, and mitigating risks.

Established in 2015, Datashift is the inspiration of its co-founders. Drawing on their deep business knowledge combined with data analytics and technology knowhow, they believe in connecting the data dots, creating the joined-up thinking and letting individuals, companies and organizations benefit from the results.

Outcomes can include a boost in sales, increased efficiency, improved operations, strengthened customer service, better risk management or the measurement of any other aspect of business and organizational success.

Visit www.datashift.eu for more details.

Listed Jobs

Company Name: Datashift
Job Title: Data & AI Strategy Manager
Job Description: **Job Title:** Data & AI Strategy Manager **Role Summary:** Lead and own client engagements to define, design, and implement data and AI strategies that deliver measurable business impact. Partner with senior stakeholders, mentor consulting teams, and shape operating models for data‑driven organizations. **Expectations:** - Deliver end‑to‑end strategy projects within scope, timeline, and budget. - Communicate complex analytics and AI concepts in clear business terms. - Drive value realization by tracking outcomes and adjusting roadmaps as needed. - Contribute to practice development and business development initiatives. **Key Responsibilities:** - Lead client engagements on use‑case selection, roadmap creation, and execution planning. - Advise C‑level and senior leaders on data & AI opportunities and risks. - Design operating models that balance centralization and decentralization of data & AI functions. - Mentor and coach junior consultants and project teams. - Monitor and report on business outcomes to ensure value capture. - Stay current on industry trends and inject fresh insights into client solutions. - Develop and expand strategy sub‑domains within the firm. **Required Skills:** - Strong consulting and project‑leadership experience (2+ years in strategy consulting). - Proven ability to translate technical AI/analytics concepts into business strategies. - Excellent communication and stakeholder‑management skills across all organizational levels. - Strategic thinking with hands‑on problem‑solving capability. - Ability to work collaboratively in cross‑functional teams. - Fluency in English; Dutch or French highly preferred. **Required Education & Certifications:** - Master’s degree in Business Engineering, Computer Science, Information Systems, Business Analytics, or a related field. - 4–8 years total relevant experience, including at least 2 years focused on data, analytics, or AI projects. - No specific certifications required, but relevant data/AI or management certifications are a plus.

Company Name: Datashift
Job Title: Senior Google Cloud Data Engineer
Job Description: **Job Title:** Senior Google Cloud Data Engineer **Role Summary:** Design, build, and maintain scalable, secure, and cost‑efficient data pipelines and infrastructure on Google Cloud Platform (GCP). Collaborate with data scientists, analytics engineers, and business consultants to translate business requirements into robust, production‑grade solutions. Lead and mentor junior engineers, ensuring code quality and operational excellence. **Expectations:** - Minimum 4 years of professional experience in data engineering. - Proficiency in GCP, Terraform/Deployment Manager, Docker, and Git workflow. - Fluency in English; knowledge of Dutch or French is required. **Key Responsibilities:** - Develop and maintain ELT pipelines, data interfaces, and generic data products. - Translate business needs into maintainable data architectures, balancing cost, performance, and reliability. - Implement deployment automation, monitoring, and alerting for production environments. - Stay current with data technology trends and disseminate knowledge within the team. - Mentor and coach mid‑level and junior data engineers. **Required Skills:** - Hands‑on GCP data solutions (BigQuery, Cloud Storage, Dataflow, Pub/Sub, etc.). - Infrastructure-as-code with Terraform or Cloud Deployment Manager. - Containerization (Docker) and orchestration (GKE/Kubernetes) experience. - Strong Python programming and clean code practices. - Version control with Git (GitHub, GitLab). - Networking, security, and access‑control in GCP. - Production‑grade deployment experience. **Required Education & Certifications:** Not specified.

Company Name: Datashift
Job Title: Responsible AI Consultant
Job Description: Job title: Responsible AI Consultant Role Summary: Provide expert guidance to clients on managing AI risks, ensuring compliance with governance frameworks, and embedding responsible AI practices across business functions. Expectations: - Lead end‑to‑end responsible AI projects. - Serve as a trusted advisor on emerging regulations, ethical considerations, and risk mitigation. - Translate technical AI concepts for non‑technical stakeholders. Key Responsibilities: - Conduct AI risk assessments and ethical evaluations for client systems. - Design and implement Responsible AI governance processes and frameworks. - Support sales efforts by articulating the value of Responsible AI. - Advise internal development teams on responsible AI policies, standards, and best practices. - Stay current with regulations (EU AI Act, GDPR, etc.) and emerging standards (NIST, ISO). - Develop methodologies and tools for AI risk management (e.g., Model Cards, Datasheets). - Bridge AI/data teams, controlling functions, and business units to ensure cohesive governance. Required Skills: - 3–5 years of consulting experience in technology, risk, or compliance with proven governance development. - Deep understanding of AI/ML fundamentals (including large language models). - Ability to identify and evaluate AI risks (bias, privacy, security, explainability). - Proficiency in stakeholder management; effective communication with both technical and non‑technical audiences. - Fluency in English; Dutch is a plus. Required Education & Certifications: - Bachelor’s degree in Computer Science, Information Systems, Business, or related field. - Certifications in data privacy, risk management, or AI ethics (e.g., Certified Information Privacy Professional, Risk Management Professional) are preferred.