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  • KDB/Q Developer

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    Strategic Staffing Solutions International‘s client is a leading global investment bank and financial services firm, known for working with top companies, governments, and institutions. With a strong presence worldwide, it focuses on investment banking, markets, asset management, and consumer finance. And they are looking for KDB Developer to join their team for a 6 or 12 month contract.

     

    Key Responsibilities

    • System Design: Architect and optimize data system components (e.g., historical databases, real-time data ingestion, gateways) using kdb+ and the Q programming language.
    • Data Processing: Develop and maintain efficient pipelines for processing high volumes of time-series data and other complex structured data.
    • Performance Optimization: Conduct performance tuning, monitoring, and capacity planning for kdb+ environments to ensure maximum speed and reliability.
    • Data Integration: Design and implement interfaces to facilitate kdb+ communication with other systems and applications using various technologies.
    • Troubleshooting: Actively diagnose and resolve production issues and provide technical support for developed systems.

     

    Essential Skills and Qualifications

    • Expertise in Q/kdb+: Proven experience in designing, implementing, and optimizing complex kdb+ database and Q applications.
    • Data Modeling: Strong skills in data modeling and designing efficient columnar data structures.
    • Programming: Proficiency in at least one additional programming language (e.g., Python, Java, C++), used for tooling and integration purposes.
    • Architecture: Experience managing and maintaining distributed kdb+ environments.
    • Soft Skills: Excellent problem-solving abilities and strong technical communication skills.

     

    What company offers:

    • Contract type: B2B or FTE, based on your preference
    • Work model: Hybrid/ Onsite
    • Full trust and independence in your work
    • Top-tier talent environment: You’ll be working alongside some of the best in the industry – a great opportunity to grow and sharpen your skills
    December 11, 2025
  • DevOps and Platform Engineer (6+6)

    Strategic Staffing Solutions International client has helped its customers become financially confident by making daily banking and important financial decisions easy. Today it is called innovation, but it has always been a part of the company’s heritage. They are constantly challenging themselves to improve the services, advice, tools and guidance they deliver. By doing so the company aims to achieve their vision “to be recognized as the most trusted financial partner”.

    Currently, the company is hiring DevOps and platform engineer to join their Application Observability team. This team plays a critical role in managing services within the Service Reliability and Observability (SRO) department

    Responsibilities:

    • Defining and refining monitoring and alerting rules, both for the team and organisation-wide
    • Work together with other teams (Platform and Observability Backend) to enhance performance and fulfil user stories
    • Working on projects such as Grafana’s migration from on-premises data centres to AWS by planning, defining requirements, supervising and implementing
    • Improving the deployment of services using Git workflows and ArgoCD
    • Proposing and validating performance and user experience improvements for team services
    • Addressing issues, implementing preventive measures and managing postmortems and related improvement tasks
    • Analysing performance, identifying anomalies and defining, documenting and implementing corrective measures
    • Ensuring compliance with the SLA

    Requirements:

    • software engineer with a strong background in DevOps and platform engineering
    • A minimum of 3 years of experience as an infrastructure engineer or within the SRE domain
    • Proven experience in ownership roles, including defining strategies, deploying, monitoring, identifying areas for improvement and implementing changes
    • Strong sense of ownership with a proactive, can-do attitude
    • Hands-on experience with server-side technologies such as Docker, Kubernetes, EKS or OpenShift
    • Expertise in managing observability and monitoring tools, such as Grafana, Prometheus, ELK Stack, tracing tools and OpenTelemetry
    • Upper-Intermediate English skills
    • Ability to start ASAP (preferred)

    Company offers:

    • 6 months contract + an option for prolonging for an additional 6 months
    • An inspiring environment in a large IT organization
    • Work in an international team, which concentrates on innovative business-facing solutions
    • Salary: up to 80 EUR/h on B2B

    Work location: 

    • On-Site (Vilnius, Lithuania) or Remote (within EU)
    December 10, 2025
  • Technical Business Analyst/Project Manager

    Strategic Staffing Solutions’s customer is a US-based software firm that creates real-time trading systems, exchanges, and clearing tools for global financial groups. Its work covers the full cycle, from early advisory and application design to system setup, testing, and launch, done in close partnership with major financial institutions. The goal is to build strong and reliable tools that improve business results while lowering system risk, cost, and delivery time. Since their New York / New Jersey team is growing, and the firm is looking for a Technical Business Analyst / Project Manager based in New York.

    What you will do:

    • Transform a leading investment management firm’s reporting capability as part of their Technology PMO team.
    • Evaluate and streamline the current reporting landscape, identifying opportunities to automate manual, time-intensive workflows and deliver scalable reporting that empowers executive decision-making.
    • Document current-state processes, identify operational gaps, and define a clear and actionable future-state vision for the reporting function.
    • Define solution architecture across systems and data flows, identifying dependencies across automation, orchestration, and data enrichment.
    • Create and deliver ad hoc executive-level reports and custom data analysis while designing opportunities to automate recurring reporting.
    • Collaborate daily with cross-functional partners including offshore development teams, reporting SMEs, business stakeholders, and C-Suite leadership.
    • Groom and prioritize backlog items to support development activities and ensure alignment with business objectives.
    • Manage end-to-end delivery of reporting solutions, ensuring existing BAU reporting remains stable throughout the transformation.
    • Proactively surface risks, dependencies, and blockers across technical and business teams and ensure they are addressed before impacting delivery.

    What you will need:

    • 5-10 years of combined Business Analyst and Project Manager experience.
    • Strong business analysis skills including requirements gathering, solution design, process mapping, and backlog creation/grooming.
    • Demonstrated project management ability to plan and coordinate across multiple teams in complex reporting and data environments.
    • Excellent stakeholder management skills with the ability to communicate effectively with technical teams, business partners, and executive leadership.
    • Experience working within PMO structures and knowledge of capital markets or broader financial services (highly preferred).

    Technical & Systems Knowledge:

    • Data analysis expertise using Excel and SQL.
    • Familiarity with BI and data platforms such as PowerBI and Snowflake (or comparable tools).
    • Experience with Agile delivery using Jira and Confluence.

    Key attributes:

    • Self-sufficient operator capable of independently driving initiatives from conception to delivery.
    • Strong communicator across all organizational levels – from engineers to C-Suite executives.
    • Proactively identifies risks and dependencies early, ensuring smooth project execution.
    • Collaborative problem-solver who thrives in cross-functional and globally distributed teams.
    • Highly adaptable with the ability to balance fluid BA/PM responsibilities.

    What you will get:

    • Salary range: $110,000 – $150,000 annually
    • Hybrid work mode (3 days in the office per week)
    • Medical, dental, and vision insurance
    • 401(k)
    • Flexible Spending Account
    December 9, 2025
  • Project manager (6 month contract)

    Danske Bank is preparing a large scale migration from SAS mainframe and SAS Windows to SAS Viya. We are seeking a senior project manager to lead the platform track and ensure the SAS Viya environment is fully prepared, scalable, and ready for onboarding users starting in 2026. The role covers a delivery period of approximately 6 to 12 months.

    Key Responsibilities

    • Lead the end to end execution of the SAS Viya platform readiness track
    • Drive planning, scoping, and execution activities for the migration
    • Coordinate closely with infrastructure, security, engineering, data, and business stakeholders
    • Secure timely delivery of platform components and remove blockers proactively
    • Establish clear governance, reporting, milestones, and follow up routines
    • Ensure compliance with Danske Bank architecture, risk, and operational standards
    • Prepare capacity, performance, and scalability plans for onboarding user groups
    • Oversee testing readiness: environments, access, stability, performance
    • Manage vendor and internal partner commitments and escalate when needed
    • Provide structured updates to steering groups and ensure transparency of risks and decisions

    Profile Requirements

    • Strong project management track record in complex technology environments
    • Demonstrated experience in platform migration or enterprise data platform delivery
    • High degree of structure, clarity in communication, and consistent follow up
    • Ability to push progress, challenge stakeholders, and secure outcomes under time constraints
    • Solid understanding of platforms or data technologies. SAS experience is an advantage
    • Experience working in regulated environments or financial institutions is a plus
    • Fluent in English with strong stakeholder management skills
    December 3, 2025
  • Applications Engineer Dynamics 365

    Responsibilities

    Develop and maintain applications using Power Apps (Canvas & Model-driven).
    Automate workflows and integrations using Power Automate, Azure services, SharePoint, and SAP.
    Collaborate with business stakeholders to gather requirements and deliver user-friendly, scalable solutions.
    Ensure compliance with Client’s data governance, security, and IT policies.
    Provide technical support, documentation, and training for deployed solutions.
    Participate in pipeline automation and deployment processes using Azure DevOps and CI/CD practices.
    Apply Power Automate Desktop to streamline manual tasks such as file handling and system integration.
    Support data standardization and integration across platforms like Data Lake or Synapse

    • Required Technical Skills

      Strong hands-on expertise with:
      Experience with Dynamics 365 with at least 3 years of experience
      Power Apps (Canvas & Model-driven)
      Power Automate for workflow automation
      Dataverse for data storage and modeling
      Power BI for reporting and analytics
      Experience integrating with enterprise platforms such as SharePoint, SAP, and Azure services.
      Ability to gather business requirements and deliver user-friendly, scalable solutions.

      Preferred Qualifications
      Familiarity with Azure languages, configurations, and integration services.
      Exposure to Power Automate Desktop.

    December 3, 2025
  • Senior Data Architect

    Senior Data Architect: Target Data Landscape Design

    Strategic Staffing Solutions client – a large Scandinavian bank – is initiating a strategic effort to define the future data architecture across platforms, analytical environments, and integration layers. We are looking for a senior data architect to design the target architecture and guide the transition roadmap over a 6 to 12 month period. The role will support the broader migration agenda and ensure that future data capabilities are scalable and compliant.

    Key Responsibilities:

    • Lead the definition of the target data architecture across core platforms, analytical environments, and integration domains
    • Assess current state, identify gaps, and propose a cohesive architecture aligned with business and regulatory needs
    • Define reference architectures, data models, governance principles, and platform usage patterns
    • Partner with engineering, security, analytics, and business teams to ensure alignment and feasibility
    • Support the SAS Viya migration track with architectural guidance and integration design
    • Establish architectural guardrails, standards, and documentation to support long term maintainability
    • Provide architectural input for performance, scalability, data quality, lineage, and metadata management
    • Ensure compliance with the technology policies, risk requirements, and industry best practices
    • Present architectural options, trade offs, and recommendations to senior stakeholders

    Profile Requirements:

    • Proven experience as a data architect in complex enterprise environments
    • Strong background in data platform design, modeling, integration patterns, and governance
    • Understanding of analytical platforms, cloud data technologies, and modern architecture patterns
    • Ability to structure complex information and communicate clearly with diverse stakeholders
    • Strong follow up discipline and ability to drive decisions across teams
    • Experience from regulated industries or financial services is an advantage
    • Familiarity with SAS ecosystems or similar analytical platforms is beneficial
    • Fluent in English
    December 3, 2025
  • Machine Learning Engineer III

    Machine Learning Engineer III – Job Description

    Summary

    The Machine Learning Engineer is responsible for designing, developing, and optimizing machine learning models and systems. The role involves working with data science prototypes, selecting suitable algorithms, and ensuring high-quality model performance through testing and retraining.


    Responsibilities

    • Study and transform data science prototypes into production-ready solutions.

    • Design end-to-end machine learning systems.

    • Research, evaluate, and implement suitable ML algorithms and tools.

    • Develop ML applications based on business and technical requirements.

    • Select appropriate datasets and data representation methods.

    • Run machine learning tests and experiments to validate model performance.

    • Perform statistical analysis and fine-tuning based on test results.

    • Train and retrain models as needed to ensure accuracy and relevance.

    • Extend or enhance existing ML libraries and frameworks.

    • Stay updated on advancements and trends in machine learning and AI.


    Requirements

    • Experience as a Machine Learning Engineer or in a similar role.

    • Strong understanding of data structures, data modeling, and software architecture.

    • Deep knowledge of mathematics, probability, statistics, and algorithms.

    • Ability to write high-quality, robust code in Python, Java, and R.

    • Familiarity with ML frameworks such as Keras or PyTorch, and libraries such as scikit-learn.

    • Excellent communication skills and ability to collaborate effectively.

    • Strong analytical and problem-solving capabilities.

    • Bachelor’s degree in Computer Science, Mathematics, or a related field (Master’s preferred).

    December 2, 2025
  • Data Engineer (PIPELINE – Data base)

    Data Engineer 

    Required Technical Skills

    • Proficiency in building out scalable and reliable ETL pipelines and processes to ingest data from variety of data sources including but not limited to SharePoint, REST API, Blob Storage.
    • Proficiency in Azure PaaS offerings and data engineering target architecture, including but not limited to Azure SQL database, Azure Data Factory, Azure Synapse, Azure Databrick, Azure Functions, Data lake, Azure Log Analytics.
    • Proficiency in large dataset transformation using Python
    • Proficiency in relational databases and SQL, including but not limited to stored procedures, indexes, functions and triggers.
    • Proficiency in Azure DevOps CI/CD and Git Repository.
    • Deep understanding in data model design and relational database normalization
    • Familiarity with Non SQL databases. E.g Cosmos DB
    December 2, 2025
  • Process and Equipment Engineering Manager

    Strategic Staffing Solutions customer is a leading global manufacturer of electronic components with a long-standing presence in the Philippines. The organization operates a high-volume, world-class semiconductor backend facility focused on delivering safe, reliable, and innovative products used across automotive, industrial, and consumer applications. They are looking for Process and Equipment Engineering Manager to join their team!

    The Assembly EOL / Test & Finishing Process & Equipment Engineering Manager leads engineering teams responsible for ensuring robust processes, capable equipment, and operational excellence across Assembly End-of-Line (Molding, Plating, DTFS) and Test & Finishing manufacturing areas. This role drives cost reduction, quality improvement, and long-term technology readiness to support factory competitiveness and future growth.

    Responsibilities:

    1. Process & Equipment Leadership

    • Oversee the stability, capability, and performance of Assembly EOL and Test & Finishing processes.
    • Lead troubleshooting of process deviations, equipment failures, and quality issues using structured problem-solving methods.
    • Ensure strong OEE, uptime, and equipment performance across molding, plating, DTFS, and testing operations.
    • Manage introduction and qualification of new equipment, materials, and process changes.

    2. Cost and Efficiency Improvement

    • Develop and implement annual cost-reduction projects focusing on yield, material usage, cycle time, and equipment efficiency.
    • Partner with Manufacturing, Finance, and Supply Chain to achieve measurable savings targets.

    3. Operational Excellence & Continuous Improvement

    • Champion Lean, Six Sigma, SPC, FDC, and other factory excellence methodologies.
    • Drive systematic process control, standardization, and documentation improvements (SOPs, BKMs, engineering specifications).
    • Lead cross-functional teams to improve throughput, quality, and operational discipline.

    4. Process Simplification & Automation

    • Identify and eliminate non-value-added steps to streamline production flows.
    • Promote automation and digitalization initiatives to reduce manual handling and improve cycle time.

    5. Technology Roadmapping

    • Define long-term technology and equipment roadmaps supporting new product introductions and advanced packaging requirements.
    • Evaluate next-generation tools, materials, and innovations to enhance factory capability.
    • Collaborate with R&D, NPI, Product Engineering, and equipment suppliers.

    6. Leadership & Team Development

    • Lead, mentor, and develop a team of process and equipment engineers.
    • Set clear priorities, allocate resources effectively, and maintain high execution standards.
    • Foster a culture of technical excellence, safety, and data-driven decision-making.

    Requirements:

    • Bachelor’s or Master’s degree in Mechanical, Electrical, Materials, Industrial Engineering, or related discipline.
    • 10+ years of experience in semiconductor backend manufacturing, specifically in Assembly EOL and/or Test & Finishing.
    • Proven leadership experience managing engineering teams or large-scale improvement programs.
    • Strong understanding of SPC, DOE, FMEA, 8D methodology, and statistical data analysis.
    • Track record of delivering cost savings, process robustness, and equipment performance upgrades.
    • Strong technical problem-solving and decision-making abilities.
    • Excellent communication and cross-functional collaboration skills.
    • Ability to manage multiple priorities and lead teams in a fast-paced production environment.
    • Familiarity with Lean, Six Sigma, and automation/digital transformation initiatives.

    Salary from: 120,000 PHP.

    December 2, 2025
  • Software Engineer (PIPELINE – Data base)

    Software Engineer – Job Description

    We are seeking a highly motivated and skilled Software Engineer to join our dynamic Software Engineering Chapter. As a Software Engineer, you will play a crucial role in supporting the development and maintenance of software solutions throughout their lifecycle.

    Responsibilities:
    Consistently deliver innovative solutions, driving them through design, planning, development, deployment and support, simplifying business processes and workflows to drive business value.
    Develop software solutions leveraging established technology standards and collaborate with internal partners to develop new technology standards
    Deliver results in collaboration with other software engineering and technical teams. Constructively and positively influence own and other teams/organizations direction
    Work with technologies like: .Net, SQL, XML, Ansible, Mobile app stores

    The Software Engineer will have an initial assignment in the DevOps / Mobility team in a team product line within the IT Foundation platform. Team is responsible for the maintenance and support of services and tools used by the enterprise pipeline. These tools are essential for enabling developer productivity and efficiency. These include Build Agents, Azure DevOps, Github Advanced Security for ADO (Ghazdo), Artifactory, StackOverflow, and SourceGraph, among others. It also includes management and support of mobile application stores such as Intune, Apperian, Google Play and Apple Stores.

    Required Technical Skills in order of preference:

    • Angular, TypeScript
    • .NET, C#
    • Azure SQL, TSQL
    • Azure DevOps
    • Azure CI/CD Pipeline
    • Power BI Development
    • Azure Synapse ETL
    December 2, 2025
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