Candidate Tech Hub

Job title: Senior Data Engineer Job type: Contract Contract Length:12 months Rate: $90 per hour Role Location: United States The Company: This organization is a global leader in life sciences and clinical diagnostics, developing innovative tools and technologies that support research, discovery, and improved human health. Its products and platforms are used by scientists and healthcare professionals worldwide to drive meaningful advances in medicine. The company is known for its high standards of quality, innovation, and scientific rigor, as well as a collaborative, purpose-driven culture. Employees work on mission-critical technology and data platforms that directly contribute to breakthroughs with real-world impact. This is an opportunity to join a science-led, globally respected organization where technology and data play a key role in improving lives. Role and Responsibilities:  We are seeking a Senior Data Engineer to join a growing data team supporting enterprise-wide data initiatives. This role is responsible for designing, building, and optimizing scalable data pipelines and architectures, with a strong focus on creating master data repositories for critical business data. You will work closely with cross-functional stakeholders to enable reliable, high-quality data delivery across multiple systems and products. The ideal candidate is an experienced data engineer who enjoys building data platforms from the ground up, improving data flow, and supporting diverse analytical and operational use cases. Design, build, and maintain scalable, reliable data pipeline architectures that support enterprise analytics and operational needs Develop and manage master data repositories for critical business domains, ensuring consistency, accuracy, and accessibility Assemble and optimize large, complex datasets that meet both functional and non-functional business requirements Build and enhance ETL/ELT pipelines for extracting, transforming, and loading data from diverse source systems using SQL and cloud-based data technologies Identify, design, and implement process and infrastructure improvements, including automation of manual workflows, performance optimization, and scalability enhancements Partner with stakeholders across executive, product, data, analytics, and design teams to support data infrastructure needs and resolve data-related technical issues Perform root cause analysis on data quality, pipeline failures, and upstream/downstream dependencies to drive continuous improvement Develop and maintain processes for data transformation, metadata management, lineage, dependency tracking, and workload orchestration Optimize data delivery to ensure consistency, reliability, and performance across projects and platforms Support and collaborate with cross-functional teams in a fast-paced, evolving environment, providing technical leadership and data engineering best practices Job Requirements: Cloud Platform: Microsoft Azure Data Engineering & ETL/ELT: Azure Data Factory, Databricks, Dell Boomi (or similar) Data Processing: SQL, Python, PySpark Databases & Storage: Relational SQL databases, Data Warehouses Data Architecture: Data Warehousing methodologies, Master Data Management, Data Vault 2.0 Analytics & Integration: Enterprise data pipelines, large-scale data integration Version Control & Collaboration: Git, enterprise collaboration tools Accessibility Statement: Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences. We make an active choice to be inclusive towards everyone every day.? Please let us know if you require any accessibility adjustments through the application or interview process. Our Commitment to Diversity, Equity, and Inclusion: Signify’s mission is to empower every person, regardless of their background or?circumstances, with an equitable chance to achieve the careers?they deserve. Building a diverse future, one placement at a?time. Check out our DE&I page here

Job title: Lead Software Engineer Job type: Permanent, Full-time Salary: Competitive based on experience Role Location: Fully Remote- US Based  The company: Our client is a profitable fintech and real estate startup backed by well-respected investors. They are building simple, scalable tools to reshape how businesses and individuals manage finance. With a small founding team, they operate in a culture that values speed, ownership, and collaboration, giving engineers the chance to influence both product direction and company growth. Role and responsibilities: As one of the early engineering hires, you will work closely with the CTO to design, build, and scale the company’s core platform. You’ll be hands-on across the stack with a focus on Ruby on Rails and React, taking ownership of features end-to-end and helping to shape both the product and engineering culture. This role is perfect for someone who thrives in a fast-paced startup environment, shipping code quickly, and solving complex problems with creativity and energy. Job requirements: Strong experience with Ruby on Rails and React Proficiency with PostgreSQL, TypeScript, JavaScript, HTML, CSS Exposure to infrastructure tools (Render.com, AWS, or GCP) Familiarity with AppSignal, GitHub Actions, Resend, Cloudflare (R2) is a plus Proven ability to ship clean, efficient code quickly Startup mindset: adaptable, collaborative, and impact-driven Preference for candidates with a CS degree (not required) Ideally currently in role and performing at a high level Benefits: Meaningful equity package Fully remote flexibility Comprehensive health benefits – 100% medical, 90% dental/vision coverage

Job title: Senior AI Engineer Job type: Perm Salary: 65,000-80,000 Role Location: Remote Anywhere in the EU Role: We are seeking a highly experienced and strategic Senior AI Engineer to lead the design, development, and delivery of cutting-edge generative AI solutions that drive meaningful business impact. This role focuses on architecting and building robust, scalable AI-powered systems, primarily leveraging Large Language Models (LLMs), while providing technical leadership and mentorship to junior engineers Responsibilities: Develop and deploy complex data pipelines and solutions built on generative AI models, owning the full development lifecycle from design through production. Design, build, and maintain advanced knowledge bases using vector embeddings, optimised for high performance and scalability. Lead the optimisation of existing generative AI models and processes, with a focus on performance, scalability, efficiency, and cost-effectiveness. Produce clear, high-quality documentation (technical specifications, guides, and presentations) to communicate AI concepts to both technical and non-technical stakeholders. Contribute to the definition and adoption of best practices for generative AI development within the team. Stay up to date with advancements in generative AI, evaluate emerging technologies, and contribute to prototyping and proposing new initiatives. Job requirements: Proven experience as a Data Scientist or AI Engineer, with hands-on involvement in designing, developing, and deploying AI/ML solutions in production environments. At least 1 year of experience building and implementing solutions based on generative AI models, with demonstrated expertise in Large Language Models (LLMs) such as GPT, Claude Sonnet, or similar, including production deployments. Strong proficiency in Python, with familiarity with generative AI frameworks and tools such as LangChain and Streamlit (experience preferred, but a strong willingness to learn is equally valued). Solid understanding of software engineering principles and best practices, including data structures, algorithms, and design patterns. Experience designing and consuming RESTful APIs and working within microservices-based architectures. Knowledge of cloud platforms and services (AWS, Azure, and/or GCP), with hands-on experience deploying, scaling, and managing AI/ML models in cloud environments. Experience working with vector databases and vector search technologies (e.g. Pinecone, Azure AI Search, Amazon OpenSearch, or vector extensions in relational databases), including performance tuning and optimisation. Strong business acumen, with the ability to translate business requirements into technical solutions that deliver measurable value through innovative AI applications. Excellent communication and presentation skills, with the ability to clearly explain complex technical concepts to both technical teams and executive stakeholders. A proactive, self-driven mindset, with the ability to lead initiatives, work independently, and collaborate effectively in a fast-paced, multi-project environment. Accessibility Statement: Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences. We make an active choice to be inclusive towards everyone every day.? Please let us know if you require any accessibility adjustments through the application or interview process. Our Commitment to Diversity, Equity, and Inclusion: Signify’s mission is to empower every person, regardless of their background or?circumstances, with an equitable chance to achieve the careers?they deserve. Building a diverse future, one placement at a?time. Check out our DE&I page here

Job title: Senior Deep Learning Engineer Job type: Permanent Salary: Competitive, plus participation in Stock Option Plan Role Location: London, United Kingdom The Company: Cutting-edge AI startup building the next-generation LLM models to power autonomous systems. Role and Responsibilities You'll join a high-impact team working on training capable policies for real-world robotic and embodied AI systems. You’ll tackle the full ML lifecycle, from data collection to deployment, building models that learn from diverse datasets, improve continuously, and generalise to new tasks. Tech Stack & Tools Python, PyTorch or JAX Deep learning infrastructure: streaming datasets, checkpointing, distributed training Reinforcement Learning and behavior cloning frameworks Modern software engineering practices for maintainable and scalable research code Impact As a Senior Deep Learning Engineer here, your models won’t stay in the lab—they’ll power real-world robotic systems, optimize autonomous behavior, and influence next-generation AI applications. You’ll have the freedom to experiment, iterate, and shape the future of vision-language-action intelligence. What We’re Looking For 3+ years building deep learning systems (industry or research) with shipped models or published work. Hands-on experience with LLMs, VLMs, or image/video generative models. Strong Python + PyTorch/JAX skills; ability to profile, debug numerics, and write maintainable research code. Familiarity with deep learning infrastructure, distributed training, and modern software engineering practices. Apply to be considered! Accessibility Statement: Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences. We make an active choice to be inclusive towards everyone every day. Please let us know if you require any accessibility adjustments through the application or interview process. Our Commitment to Diversity, Equity, and Inclusion: Our mission is to empower every person, regardless of background or circumstances, with an equitable chance to achieve the careers they deserve. Building a diverse future, one placement at a time.

Job Title: QA/Test Automation & Compliance Lead Location: Onsite (Abu Dhabi, UAE), relocation package available Role Overview: Lead, design, and build end-to-end quality for Event-Driven Architecture (EDA), low-latency platform built on Solace messaging, and Azure (AKS). You will own the test strategy, plan, automation framework, CI/CD pipelines, and compliance testing. The role is hands-on and leadership-oriented: you will set standards, coach engineers, and deliver audit-ready evidence for regulated markets. Key Responsibilities: Own test automation strategy & governance Define a shift-left test strategy across unit, integration, contract, E2E, performance, security, and resiliency. Establish quality gates (defects, coverage, flakiness budgets, performance SLOs) and release criteria. Shift left testing: requirements ? tests ? results ? evidence traceability model. Build a reusable automation framework Architect a test framework packaged for reuse across CEE teams. Provide libraries/utilities for API, Solace messaging, database, and contract testing. Standardize test data management, deterministic fixtures, and parallel/ephemeral execution patterns. Event-driven architecture (EDA) testing Validate producer/consumer contracts, schema evolution, and topic compatibility. Assert ordering, idempotency, exactly/at-least/at-most-once semantics, replay, DLQ handling, and deduplicate keys. Prove back-pressure, throttling, and consumer lag behavior under bursty market loads; chaos test broker clusters. Enforce schema/contract gates in CI/CD; prevent breaking changes before promote. Data-platform & reconciliation QA Automate data quality checks for market/reference data, order/trade states, and downstream stores (SQL Server/Azure SQL). Implement reconciliation across OMS/EMS, risk, and settlement; verify lineage and PII/PCI masking where relevant. Use SQL and profiling to validate accuracy, completeness, timeliness, and SCD/versioned data behaviors. Manage golden datasets and synthetic market data at scale for repeatable regression. Pipelines, environments & observability Embed suites in Azure DevOps (build ? deploy ? smoke ? regression ? perf/security) with mandatory gates (coverage, static analysis, compliance, performance). Orchestrate tests on AKS with Docker/Kubernetes, ephemeral environments. Validate OpenTelemetry to correlate trace IDs across services; validate Application Insights/Dynatrace signals in assertions. Performance & security Baseline latency/throughput; run JMeter/LoadRunner for spike/soak/failover; collaborate on capacity tuning. Automate OWASP checks (ZAP), enforce SAST/DAST and dependency scanning (Snyk) with remediation gating. Leadership & operations Lead QA activities in the project, mentor developers on testability and quality by design. Contribute to incident response, RCA, production canary/verification suites, and reliability playbooks. Required Skills & Experience: Languages/Frameworks: C#, Python, xUnit, PyTest, Pact, Docker, Testing: xUnit, NUnit, MSTest, Pact.NET, Moq/AutoFixture, TestContainers-style patterns APIs/Messaging: REST/GraphQL/SOAP, Solace (preferred), RabbitMQ or Kafka (plus) Data: SQL Server, Azure SQL; strong SQL for validation/migrations; data profiling tools Cloud/Infra: Azure, AKS, Docker/Kubernetes; Terraform/Bicep/ARM CI/CD & Quality: Azure DevOps, Git/Azure Repos, coverage/linters, policy-driven gates Perf/Sec/Obs: JMeter/LoadRunner, OWASP ZAP, Snyk, Application Insights, Dynatrace, OpenTelemetry Secrets: Azure Key Vault (Nice) FIX conformance via QuickFIX/N simulators; schema registry tooling Preferred Experience: ISTQB Advanced/CSTE, Azure Fundamentals / Azure DevOps Engineer Finance certs (CFA/FRM), Agile/Scrum experience

Java

Job title:  Software Architect  Contract Length: 12 months Role Location: Remote Client Industry: Financial Services  Role and Responsibilities:  Designing and delivering scalable, secure software architectures Leading architectural decisions across new and existing platforms Building and supporting card and lending products Driving system and application integrations Ensuring solutions meet financial services regulatory standards Collaborating with engineers and stakeholders to deliver at pace Job Requirements:  10+ years’ experience in software engineering / architecture Strong Financial Services background (banking, payments, lending, insurance) Proven experience delivering production-grade systems Strong .NET expertise Integration experience (TIBCO highly desirable) Able to hit the ground running with minimal onboarding Confident communicator in distributed teams Accessibility Statement:  Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences.??  We make an active choice to be inclusive towards everyone every day.? Please let us know if you require any accessibility adjustments through the application or interview process.???  Our Commitment to Diversity, Equity, and Inclusion:  Signify’s mission is to empower every person, regardless of their background or?circumstances, with an equitable chance to achieve the careers?they deserve. Building a diverse future, one placement at a?time.??  Check out our DE&I page here    ?   

Job title: Site Reliability Engineer Job type: Contract Contract Length: 6-12 months Rate: 90-100 Role Location: United States The Company: We’re partnering with an innovative, technology driven organization known for its smart use of proprietary technology for the financial services industry. The business builds platforms that genuinely make a difference - helping clients streamline operations, reduce risk, and operate more efficiently at scale. You’ll be joining a team that values accuracy, innovation, and collaboration, where technology is seen as a true enabler rather than just a support function. Role and Responsibilities:  You’ll be using Linux, Terraform, Azure, AKS/Kubernetes, Azure DevOps, FluxCD, Datadog, building scalable, secure infrastructure from the ground up not just maintaining it. This is a role with real architectural influence, automation-first thinking, and long-term platform ownership. Job Requirements: Azure Linux AKS / Kubernetes Azure DevOps FluxCD Datadog Experience building scalable, secure infrastructure from the ground up (not just maintenance) Strong architectural influence, automation-first mindset, and long-term platform ownership Accessibility Statement: Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences. We make an active choice to be inclusive towards everyone every day.? Please let us know if you require any accessibility adjustments through the application or interview process. Our Commitment to Diversity, Equity, and Inclusion: Signify’s mission is to empower every person, regardless of their background or?circumstances, with an equitable chance to achieve the careers?they deserve. Building a diverse future, one placement at a?time. Check out our DE&I page here

Job title: Senior Cloud Engineer Job type: Contract Contract Length: 6-12 months Rate: $90-$100 per hour Role Location: United States The Company: We’re partnering with an innovative, technology driven organization known for its smart use of proprietary technology for the financial services industry. The business builds platforms that genuinely make a difference - helping clients streamline operations, reduce risk, and operate more efficiently at scale. You’ll be joining a team that values accuracy, innovation, and collaboration, where technology is seen as a true enabler rather than just a support function. Role and Responsibilities:  You’ll be hands-on with Terraform, Azure, AKS/Kubernetes, Azure DevOps, FluxCD, Datadog, building scalable, secure infrastructure from the ground up not just maintaining it. This is a role with real architectural influence, automation-first thinking, and long-term platform ownership. Job Requirements: Azure Terraform AKS / Kubernetes Azure DevOps FluxCD Datadog Experience building scalable, secure infrastructure from the ground up (not just maintenance) Strong architectural influence, automation-first mindset, and long-term platform ownership Accessibility Statement: Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences. We make an active choice to be inclusive towards everyone every day.? Please let us know if you require any accessibility adjustments through the application or interview process. Our Commitment to Diversity, Equity, and Inclusion: Signify’s mission is to empower every person, regardless of their background or?circumstances, with an equitable chance to achieve the careers?they deserve. Building a diverse future, one placement at a?time. Check out our DE&I page here

Job title: Databricks Platform Engineer Job type: B2B Contract Length: 12 months Role Location: Remote / Relocation to Abu Dhabi available   Client Industry:  IT Consultancy / Financial Services   Role and Responsibilities:  •  Collaborate with stakeholders during requirements clarification and sprint planning to ensure alignment with business objectives. •  Design and implement technical solutions on Lakehouse platform (Databricks), including: Prototyping new Databricks capabilities. Exposing these capabilities to support Data Products strategy, and Data & AI ecosystem. •  Integrate data platforms with enterprise tools, including: Incident and monitoring systems (e.g., ServiceNow). Identity management solutions. Data observability tools (e.g., Dynatrace). •  Develop and maintain unit and integration tests to ensure quality and resilience. •  Support QA teams during acceptance testing. •  Act as a third-line engineer for production incidents, ensuring system stability and uptime. •  Collaborate with cloud and infrastructure teams to deliver secure, scalable, and reliable solutions. Job Requirements:  Expert knowledge of Databricks. Proficient in PySpark for distributed computing Python for library development. Advanced SQL skills for complex query optimisation (e.g., Oracle, MS SQL). Experience with Git for version control. Familiarity with monitoring tools (e.g., ServiceNow, Prometheus, Grafana). Knowledge of scheduling tools (e.g., Stonebranch, Control-M, Airflow). Proficiency in data quality frameworks (e.g., Great Expectations, ideally Monte Carlo). Solid understanding of cloud infrastructure fundamentals (DNS, certificates, identity, load balancing). Note: The primary focus is building platform capabilities rather than writing ETL pipelines. •  Agile Practices: Comfortable with sprint planning, stand-ups, and retrospectives. •  Collaboration Tools: Skilled in Azure DevOps for project management. •  Problem-Solving: Strong debugging and troubleshooting skills for complex data engineering issues. •  Communication: Exceptional written and verbal skills, able to explain technical concepts to non-technical stakeholders.