Top Tech Jobs & Startup Jobs

Develop and operate an enterprise AWS platform for analytics, data science, and machine learning teams. Responsibilities include managing EKS/Kubernetes environments, automating infrastructure with Terraform and Ansible, supporting Domino Data Lab, building CI/CD and GitOps deployments, coordinating releases, troubleshooting incidents, testing platform changes, documenting operations, and meeting security, governance, audit, and GxP requirements.

Develop and support SAP financial planning and analytics applications across BW, BPC, SAC, and Datasphere. Build data models, pipelines, SQL queries, views, stored procedures, and integrations with SAP and non-SAP sources. Translate business requirements into technical solutions, support testing and reconciliation, provide post-go-live support, and maintain documentation. The role requires strong FP&A, forecasting, consolidation, SAP analytics, and Agile delivery experience.

Designs and governs enterprise Power BI architecture, including semantic models, datasets, reports, security, workspaces, deployment, CI/CD, and lifecycle standards. Develops advanced DAX and Power Query solutions, optimizes performance and refresh processes, and integrates enterprise data sources using SQL. Provides architectural guidance, governance, technical reviews, and stakeholder collaboration within a global, regulated pharmaceutical environment.

Coordinate Scrum delivery across multiple squads supporting Allotrope Simple Models in pharmaceutical R&D. Facilitate planning, manage dependencies and impediments, track risks, maintain delivery timelines, align technical and business stakeholders, prioritize user requests, and support documentation. The role requires experience with IT release delivery, pharmaceutical or scientific R&D environments, GxP laboratory data systems, validated processes, and laboratory workflows.

Analyze maintenance and asset management processes, document business and technical requirements, and translate them into EAM platform functionality. Develop and execute functional, integration, and user acceptance tests; report defects and verify fixes. Collaborate with business users and technical teams to resolve requirements and functionality questions. Create procedural documentation and training materials for users.

Coordinate planning and delivery of software releases within the Hexagon EAM program. Maintain master and detailed release schedules, track dependencies and SDLC deliverables, align releases with product roadmaps, facilitate planning meetings, manage change promotion across environments, communicate risks, and ensure adherence to change control and release management procedures.

Analyze, design, configure, and troubleshoot Hexagon EAM integrations with SAP ECC and SAP S/4HANA. Responsibilities include data mapping, API specification, workflow configuration, interface testing, resolving data and integration issues, and maintaining technical documentation. The role collaborates with SAP, technical, and business teams throughout an enterprise transformation program.

Design, build, and maintain scalable Python and Databricks ETL/ELT pipelines across data lakes and warehouses. Develop data models, quality checks, monitoring, orchestration, catalogs, and lineage practices. Collaborate with analysts, data scientists, and ML engineers to improve data accessibility and reliability. Apply testing, Git workflows, Docker, CI/CD, and SDLC documentation in a remote, regulated enterprise environment.

The Data Quality Analyst will define quality requirements, acceptance criteria, mappings, validation approaches, and test scenarios for scientific and laboratory data. Responsibilities include onboarding ASM converters, validating transformations and semantic mappings, ensuring data integrity and traceability, reviewing defects and evidence, coordinating cross-functional teams and vendors, managing risks and dependencies, supporting release readiness, and maintaining SDLC and validation documentation in a regulated pharmaceutical environment.

Leads post-merger integration programmes across acquired travel and experiences businesses. Responsibilities include pre-close integration planning, Day 1 and long-term execution, cross-functional governance, target operating model design, transformation, synergy tracking, value creation, and integration capability development. The role manages senior stakeholders, acquired company leadership, functional workstreams, risks, dependencies, benefits realization, and scalable integration playbooks across an international portfolio.