HumanIT Digital Consulting

Data Engineer

• Define the target-state architecture from the ground up — covering ingestion, transformation, cataloguing, consumption, and platform security
• Work directly with engineering teams to implement architectural designs
• Shape how data flows, transforms, and gets consumed across the business
• Contribute to a large-scale data platform modernization programme

Data Platform Expert Engineer – AWS

Data Scientist

• Join a world-class technology consultancy as a Senior Data Scientist
• Partner closely with marketing and product teams
• Lead the creation and optimization of statistical models
• Translate complex analyses into clear narratives
• Design compelling narratives and data visualizations
• Diagnose business challenges and define appropriate data metrics
• Collaborate with leadership and cross-functional teams
• Rapidly prototype and test new insights

Senior Data Scientist – Marketing Analytics, Causal Inference

Solutions Engineer

• Own the lifecycle of data pipelines and storage systems across cloud environments, ensuring they are scalable, secure, and high-performing.
• Work closely with developers, partners, and leadership to deliver robust data solutions and integrate best practices into daily workflows.
• Build software services and APIs using Python frameworks to create smooth, reliable data processing and deployment experiences.
• Apply appropriate data modeling methodologies (Kimball, Inmon, Data Vault) to solve different problems and optimize the stack for every challenge.
• Work with streaming data platforms like Kafka or Kinesis and proprietary open-source platforms including Snowflake, Databricks, Vertica, Spark, and Airflow to enable teams through automation and continuous improvement.
• Expected travel varies by project (0-15%).

Senior Data Solutions Architect – AWS, Python, Snowflake

Software Engineer

• Join a world-class technology consultancy as a Senior iOS Developer
• Developing and maintaining iOS applications from requirements through to App Store deployment
• Writing clean, organized code that leverages software design patterns and architectural patterns
• Creating fluid visual interactions and implementing mobile user experience patterns
• Diagnosing production issues and devising solutions
• Working both autonomously and collaboratively

Senior iOS Developer – Swift, MVVM

• Join a leading data-driven organization in a modern cloud environment
• Design and deliver robust data solutions supporting critical business decisions
• Develop and optimize a modern data lakehouse architecture
• Work with complex data pipelines and multiple data sources
• Ensure performance and reliability across the platform
• Emphasize DevOps practices, CI/CD pipelines using Azure DevOps
• Adopt Microsoft Fabric capabilities

Senior Data Engineer – Azure, Databricks, PySpark

ServiceNow

• Lead a critical data transformation program focused on migrating legacy OSS/BSS and rollout systems into modern platforms such as Salesforce, ServiceNow, and IQGeo
• Define and execute the transformation strategy
• Ensure seamless data migration processes
• Coordinate cross-functional teams across data engineering, ETL, and business domains
• Minimize operational disruption while ensuring data integrity, quality, and business continuity throughout the transition

Senior IT Project Manager – Data Transformation, OSS-BSS, Salesforce, ServiceNow

Manager

• Lead and coordinate all testing activities across a major technical delivery programme within a regulated insurance and e-commerce environment
• Own the full testing lifecycle, from test planning and script preparation through defect management, stakeholder reporting, and test closure
• Collaborate closely with QA Leads, Engineers, project managers, and business stakeholders to ensure quality gates are met at every phase — SIT, UAT, and ORT

Test Manager

Analytics Engineer

• Join a world-class technology consultancy as an Analytics Engineer
• Turn raw data into meaningful, well-structured insights that drive better decisions
• Build robust data models and create well-governed data layers
• Explore embedding AI across analytics workflows to automate repetitive work
• Design and maintain clean, well-structured data models that support analytics
• Write efficient SQL to transform raw data into business-ready datasets
• Understand key business questions and ensure data is modeled effectively
• Explore embedding AI within analytics workflows
• Contribute to data quality, testing, and documentation while applying best practices

Senior Analytics Engineer, dbt, SQL, AI

Project Manager

• Own end-to-end delivery of client-facing and internal transformation projects
• Leading project initiation — drafting Project Charters, RACI matrices, and facilitating kick-off sessions
• Running discovery sessions with clients and partners to validate requirements and acceptance criteria
• Building and managing detailed project plans, critical path analysis, and risk registers
• Structuring governance and controls aligned with the organisation's project management framework
• Chairing Project Steering Committees, stand-ups, and cross-functional checkpoint meetings
• Identifying, prioritising, and escalating risks and issues in a timely manner
• Managing scope, schedule, and budget changes through formal change control
• Coordinating resources across departments and reporting on project performance to senior stakeholders
• Producing regular status reports and maintaining complete, auditable project documentation
• Leading retrospectives and formal project closure activities

Project Manager, Agile/PMBOK

Machine Learning Engineer

• Develop and maintain large-scale distributed machine learning systems using frameworks like TensorFlow, PyTorch, and Scikit-Learn
• Build predictive models including churn prediction, user journey analysis, and sales forecasting using behavioral data
• Work with supervised and unsupervised learning, survival analysis, time series modeling, and statistical forecasting techniques
• Collaborate with business units to understand their ML needs
• Optimize feature extraction, transformation, and selection while managing Feature Stores for reusability across ML pipelines
• Strong focus on MLOps practices including model training, versioning, monitoring, and deployment using CI/CD pipelines, Docker, Kubernetes, Airflow, SageMaker, and MLflow
• Ensure scalability, reliability, cost efficiency, and ease of use of the machine learning platform while maintaining model observability and connecting outcomes to product and strategic goals

Senior Machine Learning Engineer – MLOps, TensorFlow

• You'll be embedded in a product team working on a native iOS application with a modern, opinionated stack: Swift + SwiftUI + The Composable Architecture (TCA).
• Clean Architecture is the foundation, and the team takes it seriously — this is a codebase where architectural decisions are discussed, documented, and debated, not inherited and ignored.
• The role has genuine end-to-end ownership: from feature concept through to production-ready delivery.
• You'll act as a bridge between Testers, Product Owners, and Designers — proactively resolving dependencies rather than waiting for tickets to arrive.
• Code reviews, architectural evolution, and continuous improvement of deployment and release workflows are all part of the day-to-day.

Senior iOS Developer, Swift, SwiftUI, TCA

Frontend Engineer

• Work on high-impact frontend applications that support enterprise-scale logistics operations
• Enable real-time tracking, efficient routing, and seamless user experiences for both internal teams and end customers
• Shape the user interfaces of a modern, microservices-based logistics platform
• Contribute to shared libraries and design systems used across multiple applications
• Collaborate with UX/UI designers, backend engineers, DevOps, QA, and business analysts

Angular Frontend Developer

Backend Engineer

• Contribute to the development and operation of core backend systems powering large-scale logistics and distribution platforms
• Handle high-volume data processing and real-time operations
• Involved across the full DevOps lifecycle—from design and implementation to deployment and monitoring
• Build microservices-based architectures in a cloud environment
• Work within a distributed international team
• Collaborate closely with cross-functional stakeholders to deliver impactful digital products

Java Backend Developer

Consultant

• Embed in projects involving the full lifecycle of PACS solutions — from initial deployment and configuration through data migration, user acceptance testing, and go-live support.
• Set up storage architectures, configure modality mappings, manage data lifecycle policies, and ensure smooth integration with existing Radiology Information Systems.
• Collaborate closely with project managers, radiology departments, and IT stakeholders.
• Responsible for producing thorough solution documentation to ensure clean handovers to operational support teams.

PACS Technical Consultant

• Developing and maintaining Java-based applications that interact with the Hadoop ecosystem
• Working with technologies like Java Spark and Hive to process and manage data at scale
• Writing clean, testable code using modern development practices
• Collaborating with cross-functional teams
• Solving complex technical challenges within a Linux environment
• Using tools like JUnit for testing, Maven for build management, and Git for version control