A key role supporting the AML/CFT team to understand regulatory performance, compliance trends, sector risks, and operational outcomes by transforming complex datasets into insights for regulatory decision-making.
Compensation
The appointing range for this role is $128,885 - $147,297
Responsibilities
Bringing together data from multiple agencies and sources to create a coherent picture of system performance and effectiveness
Analysing regulatory, operational and system-wide data to identify trends, risks and opportunities
Supporting AML/CFT regulatory operations through evidence-based analysis and insights
Presenting complex information in a way that is accessible and meaningful for operational, executive and cross-agency audiences
Challenging assumptions, validating data and identifying anomalies to ensure confidence in the evidence base
Requirements
Nice to have: Experience in government
Nice to have: Experience in regulatory environments
Nice to have: Experience in compliance environments
As a Senior DataPlatform Engineer at the ACM, you design and automate our multi-cloud platform (Azure and ODCN) to enable data experts to perform optimally. You build the scalable and secure infrastructure for data-intensive workloads using Infrastructure-as-Code.
Compensation
Maandsalaris €4.818,00 - €7.094,00
Responsibilities
Design and build a robust data platform in a multi-cloud environment using IaC like Terraform or similar tools.
Facilitate the workflow of Data Scientists by automating scalable environments for model training and experiments (e.g., Kubernetes clusters).
Develop custom scripts for data-governance, access control (IAM), and cost-efficiency (FinOps).
Implement monitoring and logging for both infrastructure and data pipelines.
Collaborate actively with Data Scientists, Data Engineers, and Analysts to translate specific needs into platform features.
Lead a high‑performing data engineering team within Apple Services Engineering, designing and operating large‑scale data pipelines and platforms to support customer‑facing features, internal reporting, and partner integrations.
Responsibilities
Direct a team responsible for design, development and operation of massive‑scale data pipelines and services
Set technical direction for large‑scale data foundations and platforms
Partner with cross‑functional leaders to translate business needs into scalable, privacy‑first data solutions
Recruit, develop and retain top engineering talent
Influence platform strategy at the executive level
Requirements
Bachelor's degree in Computer Science or Engineering
Master's degree or PhD in Computer Science, Engineering or related field
Transformer la donnée et l'intelligence artificielle en leviers d'action concrets pour optimiser nos chaînes logistiques, automatiser nos processus et sublimer notre offre produit.
Responsibilities
Concevoir, packager et faire vivre la donnée comme un produit fini, fiable, documenté et exposé via des Data Contracts clairs
Concevoir des solutions prédictives et génératives qui automatisent les tâches répétitives des métiers
Intégrer les outils d’IA dans les pratiques de delivery et accompagner la montée en maturité des équipes métiers
Définir la vision du produit, gérer le backlog, mesurer la valeur métier et prioriser les cas d’usage
Formaliser les besoins fonctionnels en utilisant des outils d’IA pour accélérer la rédaction des user stories
Lead a multidisciplinary Systems Engineering Technical Advisor team to advance enterprise data strategy, architecture, governance, and implementation for the GED Enterprise Data and Applications Platforms office under the Merigold contract.
Compensation
Min: $120,572.56
Max: $209,652.29
Responsibilities
Lead a multidisciplinary SETA team supporting enterprise data strategy, architecture, engineering, governance, and acquisition.
Guide enterprise data architecture and service expansion to support current and future constellations, ensuring interoperability, scalability, and cross-program integration.
Translate enterprise data strategies and mission objectives into technical requirements, implementation roadmaps, and acquisition strategies.
Lead technical and acquisition planning, including requirements, cost estimates, schedules, acquisition documentation, and evaluation of proposed solutions.
Oversee systems engineering and integration of enterprise data capabilities, including data models, catalogs, metadata, provenance, lineage, and lifecycle management.
Requirements
Bachelor’s degree in Computer Science, Software Engineering, Systems Engineering, Electrical Engineering, or a related technical discipline
Lead site analytics web and data quality initiatives within AbbVie's pharmaceutical operation, ensuring data used in GxP systems are accurate, secure and compliant with global regulatory standards.
Responsibilities
Implement and maintain Data Integrity compliance activities across the end-to-end product lifecycle and various departments in alignment with relevant regulatory regulations and guidelines.
Implement data governance framework like metadata, ownership and lineage.
Establish data mapping and monitor data lifecycle – collection, storage, processing and usage.
Collaborate with various functional stakeholders to integrate analytics into everyday activities and decision-making processes.
Collaborate with functional leads and peer teams to define and create analytical products tailored to specific category needs.
Requirements
Bachelor’s Degree in Physical or Life Sciences, Pharmacy, or Engineering
Design and validate database-level security for licensed third‑party data, including authentication, authorization, auditing, and data lifecycle controls.
Responsibilities
Design and validate database-level security for licensed third‑party data
Run POCs and turn validated patterns into reusable, production‑ready designs
Assess relational database platforms, schemas, connectivity methods, interfaces, drivers, service identities, query patterns, and downstream consumption
Identify where licensed data is stored, transformed, replicated, extracted, cached, archived, or backed up
Assess current database security capabilities and identify gaps, constraints, risks, and prerequisites
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