Jobs Data & Analytics

POSITION DESCRIPTION: 

We are looking for a Business Analyst who will interact with stakeholders, development and quality assurance teams to elicit and analyze requirements, document them and create functional specifications. The candidate will contribute to every stage of the product lifecycle from research and discovery to iterative development and roll-out.
 

LOCATION: Ukraine (remote)
 

MINIMUM EXPERIENCE: 

6+ years of commercial experience in Business Analysis.
 

REQUIREMENTS: 

• Proven experience of working with external clients or handling outsourcing projects
• Solid expertise in the discovery stage of the project
• Experience and understanding of BA work on the pre-sale stage
• Basic understanding of product management/product ownership
• Understanding of business processes, optimization and automation
• Proven experience in gathering and eliciting requirements and successfully completing analytical assignments
• Knowledge of modelling notations: UML, BPMN, Data Flow
• Knowledge of API documentation and basic principles of relational databases such as MySQL
• Ability to influence stakeholders and closely collaborate with them to determine acceptable solutions
• Ability to translate business needs into software and operational requirements
• Readiness to work in dynamic environment with frequent project change
• Upper-Intermediate level of English
   

DUTIES: 

• Planning, conducting, facilitating discovery and pre-sale project workshops
• Elaborating business, functional and non-functional requirements
• Preparing and presenting discovery artifacts
• Gathering critical information from meetings with stakeholders
• Defining, translating, simplifying, and prioritizing requirements
• Creating business cases and user stories
• Creating conceptual prototypes and mock-ups
• Ensuring that designed solutions meet business needs and requirements
• Performing acceptance testing
• Creating detailed reports and giving presentations
   

NICE TO HAVE:

• Knowledge of artificial intelligence mechanics and how to work with prompts
• Experience with Power BI
• Experience in building JSON and XML documents and using them in functional specifications
• Exposure to engineering software (CAD/CAM, PDM/PLM, etc.)
   

COMPENSATION & BENEFITS:

• Competitive salary 
• Professional and friendly team 
• Flexible work schedule 
• Fully remote work mode
• Health insurance
• Paid vacation, sick leave, and other benefits 

We are looking for Business Analyst to develop and support Big Data solutions used across multiple business units. In this role, you will focus on structuring business needs, defining data logic and ensuring solutions are clearly specified for implementation. The position combines analytical work, data solution design and cross-team collaboration in a large-scale telecom environment.

Responsibilities
•    Collect, analyze and formalize business requirements from internal teams
•    Translate business needs into structured documentation, data logic and functional specifications
•    Design analytical solutions such as triggers, batch processes, dashboards and data funnels
•    Define data mappings, transformation rules and end-to-end processing flows
•    Build, aggregate and validate datasets from multiple internal and external sources
•    Support development teams by clarifying requirements, logic and acceptance criteria
•    Maintain structured product documentation, PRDs and user stories
•    Participate in solution discussions to ensure feasibility, clarity and consistency of implementation
•    Provide visibility on analysis progress and document agreed decisions and assumptions
•    Contribute to improving analysis practices, documentation quality and internal knowledge sharing

Requirements
•    2+ years of experience in Business Analysis, Data Analysis, Data Engineering or a similar role
•    Strong analytical thinking and ability to structure complex business requests
•    Proven experience writing clear functional and technical documentation
•    Solid SQL skills and experience working with large datasets and ETL processes
•    Experience working with Big Data platforms such as Apache Hadoop, Amazon Web Services, Microsoft Azure or similar environments
•    Familiarity with streaming or pipeline tools such as Apache Kafka is an advantage
•    Understanding of data structures, processing logic and system integration principles
•    Experience working with multiple teams in complex corporate environments
•    Telecom domain knowledge is a plus

We offer
•    Work on large-scale data solutions with real operational usage
•    Remote-friendly work format with flexible hours
•    Competitive salary and annual performance bonus
•    Paid vacation and sick leave
•    Medical and life insurance
•    Professional development and career growth opportunities
•    Supportive, expert-level team environment

Dynamica Labs invites a Business Analyst /Project Manager(CRM)  for the implementation of Microsoft Dynamics 365 CRM system to our clients. This position is for those currently working in client-facing roles such as QA, BA, PM, Technical Support Specialist or similar. We provide comprehensive training for transitioning into this role. 
 
 FUNCTIONAL RESPONSIBILITIES: 

• Participation in projects for the implementation of Microsoft Dynamics 365 CRM system. 
• Configuring the Microsoft Dynamics 365 CRM system to fit the client's business processes. 
• Interaction with the development department in terms of writing tasks for system customization, controlling deadlines and quality of execution. 
• Building strong relationships with clients to ensure excellent service levels. 
• Meeting deadlines and reporting on completed work.
   

    WHAT WE EXPECT FROM YOU: 

• 1+ year of experience in IT field
• Desire to continuously learn new things 
• Technically savvy 
• English language proficiency at the upper-intermediate level or higher (Communication with English-speaking clients)
• Higher education
  
      WOULD BE A PLUS: 
• Higher education in technical  fields 
• Experience working in an IT company 
• Experince working with CRM systems
• Experience as a PM/BA or relevant courses 

 BENEFITS:  

• A London based company, Microsoft Solutions Partner for Business Applications 
• UK and US based clients only 
• Opportunities for self-realization, professional and career growth 
• Skilled management and mature processes 
• Interesting and diverse projects 
• Friendly team 
• Transparent payment system 
• Remote work 
• Paid public holidays, annual leave, sick days 
• Guidance, mentoring and training for Dynamics Sales and Marketing, HubSpot, ClickDimensions, MS PowerApps 

YozmaTech isn’t just another tech company – we’re a global team of go-getters, innovators, and A-players helping startups and product companies scale smarter and faster.
We build dedicated development teams across 10+ countries, creating strong, long-term partnerships based on trust, transparency, and real impact.
Here, every idea counts. We value people who are proactive, open-minded, and ready to grow. If you’re passionate about building meaningful products and want to join a team that feels like family – you’ll feel right at home with us.

Our client looking for a Platform Engineer to drive critical infrastructure initiatives across our backend systems, with primary ownership of our core platform.
This is a high-impact role where you'll architect scalable solutions that serve our entire engineering organization - core platform services that power our AI editing capabilities.
You'll have the opportunity to shape technical decisions across multiple domains while ensuring our platform systems are robust, reliable, and optimized for growth.

Key Requirements:
🔹 5+ years of experience as a Backend Engineer, with experience building platform services or shared infrastructure;
🔹 B.Sc in Computer Science, Software Engineering, or a related field from a well-known university;
🔹 Proven expertise in backend server development, using languages like Python, Scala, Go, or Java;
🔹 Solid understanding of system design principles, API architecture, and service-oriented architectures;
🔹 Proficiency with AWS services and cloud-based architectures;
🔹 Excellent communication skills for collaborating across engineering, product, and operations teams;
🔹 Proactive mindset, having the will and ability to find areas where optimizations can benefit the entire org;
🔹 English – Upper-Intermediate or higher.

What you will do:
🔹 Drive platform-level initiatives that improve scalability, reliability, and developer experience across our backend systems;
🔹 Collaborate with multiple departments to support new platform features and technical initiatives;
🔹 Monitor platform health, investigating and resolving incidents and reliability issues;
🔹 Develop and optimize shared platform services, APIs, and infrastructure used across engineering teams;
🔹 Create internal tools and frameworks that improve developer productivity and system reliability;
🔹 Drive initiatives to improve observability, monitoring, and operational excellence across our infrastructure;

Interview stages:
🔹 HR Interview;
🔹 Tech interview;
🔹 Client Interviews;
🔹 Reference check;
🔹 Offer;

Level: Middle Engagement: Long-term contract Location: Europe (EU / EEA / UK), remote Working hours: EU business hours, shifted 2–3 hours later to ensure daily overlap with US West Coast (PST/PDT) mornings

About the Client

Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an AI-ready semantic layer, and an open catalog built on Apache Iceberg — enabling Fortune 500 companies across finance, energy, manufacturing, and logistics to unify, query, and govern data at massive scale across cloud and on-premise sources.

About the Role

We are looking for a Middle-level Software Engineer to work on the core query engine of a large-scale distributed data platform. You will develop features across query planning, optimization, and execution, contribute to performance-critical components, and help evolve the platform's ability to process massive analytical workloads across heterogeneous data sources.

This is a systems-level, backend engineering role focused on distributed data processing internals — not application development or CRUD services.

Responsibilities

• Develop and maintain features across the query engine — planning, optimization, execution, and data access layers.
• Write high-quality, performance-conscious code in Java and/or C++.
• Work with SQL semantics, query plans, and execution operators over large-scale distributed data.
• Integrate with columnar formats, open table formats, and connectivity drivers used across the platform.
• Contribute to CI/CD pipelines and automated testing — participate in build, test, and release workflows in Jenkins.
• Deploy and validate work in Kubernetes (GKE / EKS / AKS) across GCP, AWS, and Azure using Docker.
• Debug complex issues spanning query planning, distributed execution, memory management, and I/O.
• Collaborate closely with US-based engineering teams on design reviews, code reviews, and technical decisions.

Required Qualifications

• Education: B.S. or M.S. in Computer Science, Computer Engineering, or a related technical field.
• Programming: Strong proficiency in Java or C++, with solid OOP and software design fundamentals. Candidates comfortable with both are especially valued.
• SQL & Data: Strong SQL skills and solid understanding of relational and analytical data systems, including query execution concepts.
• Data processing systems experience: Hands-on experience with data processing systems — query engines, distributed databases, ETL/ELT frameworks, or analytical platforms.
• Engineering experience: 3+ years in backend/systems software engineering.
• CI/CD & DevOps basics: Practical experience with Jenkins pipelines and modern development workflows.
• Containers: Working knowledge of Docker and basic Kubernetes (running workloads, debugging pods, kubectl fluency).
• Cloud: Comfortable operating in at least one major cloud (GCP, AWS, or Azure).
• Version Control: Confident with Git / GitHub workflows.
• English: Upper-Intermediate or higher (B2+) — daily written and verbal communication with a US-based engineering team.
• Availability: Able to work EU hours with a 2–3 hour shift toward US West Coast time to ensure daily overlap with the client team.

Desired Skills

• Experience with Apache Arrow (columnar in-memory format).
• Familiarity with Apache Calcite (SQL parsing, planning, optimization framework).
• Exposure to Gandiva or LLVM-based expression compilation.
• Experience with open table formats — Apache Iceberg, Delta Lake, or Hudi.
• Familiarity with distributed computing frameworks (e.g., Apache Spark, Kafka) and MPP SQL query engines (e.g., Presto, Trino, or similar).
• Understanding of query planning, optimization, and execution internals.
• Experience with data connectivity drivers: JDBC, ODBC, Arrow Flight.
• Kubernetes on managed services (GKE / EKS / AKS) and multi-cloud exposure.
• IaC tools such as Terraform.
• Experience with performance profiling and optimization of latency-sensitive systems.
  Please note: We can consider only candidates currently residing in the EU, EEA, or the UK.
  Please note: We can consider only candidates currently residing in the EU, EEA, or the UK

Level: Senior Engagement: Long-term contract Location: Europe (EU / EEA / UK), remote Working hours: EU business hours, shifted 2–3 hours later to ensure daily overlap with US West Coast (PST/PDT) mornings

About the Client

Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an AI-ready semantic layer, and an open catalog built on Apache Iceberg — enabling Fortune 500 companies across finance, energy, manufacturing, and logistics to unify, query, and govern data at massive scale across cloud and on-premise sources.

About the Role

We are looking for a Senior Software Engineer to design, build, and own significant components of the core query engine of a large-scale distributed data platform. You will lead work across query planning, optimization, and execution — driving architectural decisions, mentoring middle engineers, and pushing the platform's performance and scalability boundaries across all major clouds.

This is a systems-level, backend engineering role focused on distributed data processing internals — not application development or CRUD services.

Responsibilities

• Architect, design, and implement significant components of the query engine — planner, optimizer, execution operators, memory management, and data access layers.
• Write and review high-quality, performance-critical code in Java and/or C++.
• Own end-to-end delivery of features from technical design through production rollout.
• Drive performance optimization work — profiling, benchmarking, and eliminating bottlenecks in latency- and throughput-sensitive paths.
• Integrate deeply with columnar formats, open table formats, and connectivity drivers.
• Mentor middle engineers, lead code reviews, and set technical standards for the team.
• Contribute to CI/CD architecture and quality processes across Jenkins, containerization, and multi-cloud deployment (GCP, AWS, Azure via Kubernetes / Docker).
• Debug complex, cross-layer issues spanning query planning, distributed execution, memory management, and I/O.
• Partner with US-based engineering leads on design reviews, architectural decisions, and roadmap execution.

Required Qualifications

• Education: B.S. or M.S. in Computer Science, Computer Engineering, or a related technical field.
• Programming: Strong proficiency in Java or C++, with deep understanding of OOP, systems design, memory management, and concurrency. Candidates strong in both are especially valued.
• SQL & Data: Advanced SQL skills and strong understanding of query execution internals — planning, optimization, and operator implementation.
• Data processing systems experience: Demonstrated experience building or extending data processing systems — query engines, distributed databases, ETL/ELT frameworks, or analytical platforms.
• Engineering experience: 5+ years in backend/systems software engineering, with a track record of owning significant components.
• CI/CD & DevOps: Solid experience with Jenkins and modern engineering workflows.
• Containers & Orchestration: Strong working knowledge of Docker and Kubernetes.
• Cloud: Hands-on experience with at least one major cloud (GCP, AWS, or Azure); exposure to more than one is a strong plus.
• Version Control: Confident with Git / GitHub workflows and rigorous code review practices.
• English: Upper-Intermediate or higher (B2+) — daily written and verbal communication with a US-based engineering team.
• Availability: Able to work EU hours with a 2–3 hour shift toward US West Coast time to ensure daily overlap with the client team.
• Leadership: Prior experience mentoring engineers, leading technical designs, or owning components end-to-end.

Desired Skills

• Deep experience with Apache Arrow (columnar in-memory format).
• Hands-on experience with Apache Calcite (SQL parsing, planning, optimization framework).
• Experience with Gandiva or LLVM-based expression compilation and code generation.
• Experience with open table formats — Apache Iceberg, Delta Lake, or Hudi.
• Deep familiarity with distributed computing frameworks (e.g., Apache Spark, Kafka) and MPP SQL query engines (e.g., Presto, Trino, or similar).
• Deep understanding of query planning, optimization (cost-based, rule-based), and execution internals.
• Experience with data connectivity drivers: JDBC, ODBC, Arrow Flight.
• Kubernetes on managed services (GKE / EKS / AKS) and multi-cloud exposure.
• IaC tools such as Terraform.
• Track record of performance optimization at the systems level — profiling, vectorization, cache/memory-conscious design.
• Prior experience contributing to open-source data infrastructure projects.
  Please note: We can consider only candidates currently residing in the EU, EEA, or the UK

Level: Senior Engagement: Long-term contract Location: Europe (EU / EEA / UK), remote Working hours: EU business hours, shifted 2–3 hours later to ensure daily overlap with US West Coast (PST/PDT) mornings

About the Client

Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an AI-ready semantic layer, and an open catalog built on Apache Iceberg — enabling Fortune 500 companies across finance, energy, manufacturing, and logistics to unify, query, and govern data at massive scale across cloud and on-premise sources.

About the Role

We are looking for a Senior SDET to lead the design of automated test frameworks and testing strategy for a large-scale distributed data platform. You will own the quality of the query engine, connectivity layer, and backend services end-to-end — from framework architecture through CI/CD infrastructure across all major clouds — and mentor middle engineers on the team.

This is a data-heavy, backend-focused role. We are not looking for web/UI QA engineers — the work centers on validating distributed query execution, data correctness at scale, connectivity drivers, and backend microservices.

Responsibilities

• Architect, design, and evolve automated test frameworks in Python / pytest for backend services, REST APIs, and distributed data components.
• Define testing strategy for new features and platform components — coverage, risk assessment, and quality gates.
• Own end-to-end, integration, performance, and regression testing covering SQL query execution, data correctness at scale, and platform APIs.
• Lead performance and load testing efforts with JMeter, including workloads over JDBC / ODBC / Arrow Flight drivers.
• Design and validate large-scale data testing scenarios — query plans, result correctness across heterogeneous data sources, metadata consistency, and behavior under high concurrency.
• Own CI/CD test pipelines in Jenkins — architect, maintain, and continuously improve.
• Provision and manage test environments in Kubernetes (GKE / EKS / AKS) across GCP, AWS, and Azure using Docker; drive automation and reproducibility.
• Investigate complex, cross-layer failures and drive root-cause analysis with engineering.
• Mentor middle SDETs, review test designs, and set quality standards across the team.
• Partner with US-based development leads on shift-left practices, testability, and release readiness.

Required Qualifications

• Education: B.S. or M.S. in Computer Science, Computer Engineering, or a related technical field.
• Programming: Strong proficiency in Python, including pytest, with deep understanding of OOP, software design principles, and test framework architecture.
• SQL & Data: Advanced SQL skills and strong understanding of relational and analytical data systems, including query execution internals.
• Data-intensive testing experience: Demonstrated experience testing data-intensive systems — query engines, ETL/ELT pipelines, streaming platforms, or analytical databases. Candidates with only web/UI QA backgrounds are not a fit.
• Testing experience: 5+ years in backend/system test automation, with demonstrated ownership of test strategy and infrastructure.
• CI/CD & DevOps: Solid experience architecting and maintaining Jenkins pipelines and test environments.
• Containers & Orchestration: Strong working knowledge of Docker and Kubernetes (running workloads, debugging pods, deploying complex environments).
• Cloud: Hands-on experience with at least one major cloud (GCP, AWS, or Azure); exposure to more than one is a strong plus.
• Version Control: Confident with Git / GitHub workflows and code review practices.
• English: Upper-Intermediate or higher (B2+) — daily written and verbal communication with a US-based engineering team.
• Availability: Able to work EU hours with a 2–3 hour shift toward US West Coast time to ensure daily overlap with the client team.
• Leadership: Prior experience mentoring engineers, defining test strategy, or leading a QA/SDET function.

Desired Skills

• Deep experience testing REST APIs and backend microservices at scale.
• Hands-on with distributed computing frameworks (e.g., Apache Spark, Kafka) and MPP SQL query engines (e.g., Presto, Trino, or similar).
• Strong understanding of modern data lakehouse concepts, open table formats (Apache Iceberg), and data warehousing.
• Experience with data connectivity drivers: JDBC, ODBC, Arrow Flight.
• Performance testing with JMeter or comparable load-testing tools at production scale.
• Kubernetes on managed services (GKE / EKS / AKS) and multi-cloud exposure.
• IaC tools such as Terraform.
• Deep understanding of query plan generation, query acceleration / materializations, and metadata integrity in distributed data systems.
• Prior experience leading a QA/SDET function in a data-platform or database engineering environment.
  Please note: We can consider only candidates currently residing in the EU, EEA, or the UK.

Level: Middle Engagement: Long-term contract Location: Europe (EU / EEA / UK), remote Working hours: EU business hours, shifted 2–3 hours later to ensure daily overlap with US West Coast (PST/PDT) mornings

About the Client

Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an AI-ready semantic layer, and an open catalog built on Apache Iceberg — enabling Fortune 500 companies across finance, energy, manufacturing, and logistics to unify, query, and govern data at massive scale across cloud and on-premise sources.

About the Role

We are looking for a Middle-level SDET to design and maintain automated tests for a large-scale distributed data platform. You will validate the correctness, performance, and reliability of the query engine, connectivity layer, and backend services across all major clouds.

This is a data-heavy, backend-focused role. We are not looking for web/UI QA engineers — the work centers on validating distributed query execution, data correctness at scale, connectivity drivers, and backend microservices.

Responsibilities

• Develop and maintain automated tests in Python / pytest for backend services, REST APIs, and distributed data components.
• Write end-to-end, integration, and regression tests covering SQL query execution, data correctness, and platform APIs.
• Support performance and load testing with JMeter, including workloads over JDBC / ODBC / Arrow Flight drivers.
• Validate data-intensive scenarios — query plans, result correctness across data sources, metadata consistency, and behavior under concurrency.
• Contribute to CI/CD test pipelines in Jenkins — configure, maintain, and troubleshoot.
• Provision and manage test environments in Kubernetes (GKE / EKS / AKS) across GCP, AWS, and Azure using Docker.
• Investigate failures across the stack — query engine, distributed services, drivers, infrastructure — and drive them to resolution with engineering.
• Collaborate with US-based developers on testability and quality gates.

Required Qualifications

• Education: B.S. or M.S. in Computer Science, Computer Engineering, or a related technical field.
• Programming: Strong proficiency in Python, including pytest, with a solid grasp of OOP and software design principles.
• SQL & Data: Strong SQL skills and solid understanding of how relational and analytical data systems work.
• Data-intensive testing experience: Hands-on experience testing data-intensive systems — query engines, ETL/ELT pipelines, streaming platforms, or analytical databases. Candidates with only web/UI QA backgrounds are not a fit.
• Testing experience: 3+ years in backend/system test automation or SDET roles.
• CI/CD & DevOps basics: Practical experience with Jenkins pipelines and deploying/maintaining test environments.
• Containers: Working knowledge of Docker and basic Kubernetes (running workloads, debugging pods, kubectl fluency).
• Cloud: Comfortable operating in at least one major cloud (GCP, AWS, or Azure).
• Version Control: Confident with Git / GitHub workflows.
• English: Upper-Intermediate or higher (B2+) — daily written and verbal communication with a US-based engineering team.
• Availability: Able to work EU hours with a 2–3 hour shift toward US West Coast time to ensure daily overlap with the client team.

Desired Skills

• Experience testing REST APIs and backend microservices at scale.
• Familiarity with distributed computing frameworks (e.g., Apache Spark, Kafka) and MPP SQL query engines (e.g., Presto, Trino, or similar).
• Understanding of modern data lakehouse concepts, open table formats (Apache Iceberg), and data warehousing.
• Experience with data connectivity drivers: JDBC, ODBC, Arrow Flight.
• Performance testing with JMeter or comparable load-testing tools.
• Kubernetes on managed services (GKE / EKS / AKS) and multi-cloud exposure.
• IaC tools such as Terraform.
• Understanding of query plan generation, query acceleration / materializations, and metadata integrity in distributed data systems.
  Please note: We can consider only candidates currently residing in the EU, EEA, or the UK

About Our Client

Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an AI-ready semantic layer, and an open catalog built on Apache Iceberg — enabling Fortune 500 companies across finance, energy, manufacturing, and logistics to unify, query, and govern data at massive scale across cloud and on-premise sources.

About the Role

We are looking for a Senior Software Engineer for the data catalog and enterprise data management layer of a large-scale lakehouse platform — the services that automate data ingestion and autonomously optimize Apache Iceberg tables. You will own features through the full development cycle, from design through deployment, in a multithreaded, distributed environment where scalability, performance, and always-on availability are the baseline expectations.

This is a systems-level, backend engineering role focused on data infrastructure internals — not application development or CRUD services.

Responsibilities

• Own the full software development cycle — inception, design, development, testing, deployment — for catalog and data-management services
• Build and operate services for automated ingestion and autonomous optimization of Apache Iceberg tables
• Reason about concurrency and parallelization to deliver scalability and performance in multithreaded, distributed systems
• Drive performance tuning and system-efficiency improvements
• Work with Apache Foundation open-source projects, contributing upstream where agreed
• Participate in code and design reviews, upholding a high engineering bar
• Collaborate with product managers, support teams, and solution architects on feature requests and design updates
• Partner with US-based engineering leads on technical decisions

Required Qualifications

• B.S., M.S., or PhD in Computer Science or a related field
• 5+ years of software engineering experience, preferably focused on database systems or related fields
• Strong object-oriented programming skills in Java or C++
• Solid grounding in data structures and algorithms
• Hands-on experience with multithreaded and asynchronous programming patterns for scalable, performant systems
• A passion for engineering quality — zero-downtime upgrades, availability, resiliency, and uptime as first-class concerns
• Comfort with a fast-moving environment; strong ownership; the confidence to defend a technical position and the openness to be mentored
• Comfortable with AI-assisted development workflows — using modern AI tools productively while critically validating their output
• English Upper-Intermediate or higher (B2+) — daily written and verbal communication with a US-based engineering team
• Availability to work EU business hours shifted 2–3 hours later for daily overlap with US West Coast mornings

Desired Skills

• Database internals and query planning
• Distributed systems: concurrency control, data replication, storage systems
• Apache Iceberg or other open table formats (Delta Lake, Hudi)
• Messaging systems: Kafka, NATS, or cloud pub/sub services
• Contributions to open-source data infrastructure (Apache projects especially valued)

Details

• Engagement: Long-term contract
• Location: Europe (EU / EEA / UK), remote
• Working hours: EU business hours, shifted 2–3 hours later for daily overlap with the US West Coast team

About Our Client

Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an AI-ready semantic layer, and an open catalog built on Apache Iceberg — enabling Fortune 500 companies across finance, energy, manufacturing, and logistics to unify, query, and govern data at massive scale across cloud and on-premise sources.

About the Role

We are looking for a Senior Software Engineer to build and operate production AI agent and search services on top of a large-scale data platform. This is hands-on work at the intersection of distributed backend engineering and applied AI: multi-agent workflows, tool-execution infrastructure, retrieval and relevance, and integrations with multiple LLM providers — all running as real, customer-facing production services with the reliability expectations that implies.

Responsibilities

• Design and implement scalable multi-agent workflows (including conversation state), tool-execution infrastructure, and data-aware tools working with catalogs, schemas, lineage, SQL, jobs, semantic metadata, data preparation, and visualizations
• Build search and retrieval capabilities with OpenSearch or equivalent — indexing, relevance tuning, hybrid keyword + vector search
• Integrate multiple LLM/model providers with secure configuration and graceful degradation
• Develop APIs and event contracts across REST, streaming/SSE, gRPC, protobuf, and SDKs, including UI integrations
• Operate, monitor, and improve production services — service health, logs, metrics, traces, search-cluster health, latency, and error rates; participate in the team's production-support model
• Investigate incidents, drive root-cause analysis, and ship durable fixes
• Design for permissions, tool approvals, multi-tenancy, and customer-data governance
• Maintain dependencies, apply security fixes, and reduce tech debt; produce designs, tests, runbooks, and documentation; lead technical discussions and review code

Required Qualifications

• B.S. or M.S. in Computer Science, Computer Engineering, or a related field — or equivalent practical experience
• 7+ years of relevant experience, or equivalent demonstrated senior-level impact
• Strong Java software engineering skills
• Strong grasp of concurrency, data structures, API design, testing, maintainability, and backward compatibility
• Solid background in distributed systems, microservices, cloud services, or data-intensive backends
• Hands-on experience with search technologies — OpenSearch, Elasticsearch, or Lucene — including vector search, embeddings, or relevance systems
• Experience building LLM applications, agent/tool workflows, RAG systems, or model-provider integrations
• Strong production instincts: diagnosing failures via logs, metrics, and traces; designing for fault tolerance, retries, cancellation, and recovery
• SQL and familiarity with data platform concepts: catalogs, metadata, schemas, governance, lineage
• Comfort leading ambiguous, cross-service work with clear stakeholder communication and strong written documentation
• Comfortable with AI-assisted development workflows — using modern AI tools productively while critically validating their output
• English Upper-Intermediate or higher (B2+) — daily written and verbal communication with a US-based engineering team
• Availability to work EU business hours shifted 2–3 hours later for daily overlap with US West Coast mornings

Desired Skills

• LangChain4j or similar agent frameworks
• Python for AI services, evaluation harnesses, or sandboxed execution
• React and TypeScript
• gRPC, protobuf, Quarkus, Kubernetes, MongoDB, KV stores, event-driven architectures
• Apache Arrow, Apache Iceberg, OpenLineage, semantic layers, or data-governance systems
• AI quality evaluation: LLM-as-judge, model benchmarking, production AI metrics
• OpenSearch operations: index lifecycle management, relevance tuning, incident response
• Open-source contributions

Details

• Engagement: Long-term contract
• Location: Europe (EU / EEA / UK), remote
• Working hours: EU business hours, shifted 2–3 hours later for daily overlap with the US West Coast team

About the Role

Trialt is expanding its Statistical Programming team to support international Phase I-IV clinical trials across a range of therapeutic areas. Our programmers work on projects for pharmaceutical, biotechnology, medical device and CRO clients across the US and Europe. Depending on the project and individual experience, you may join a client-dedicated assignment or work within a full-service biometrics team. Project assignments are based on your experience, expertise and current business needs.

What You Will Do

• Lead statistical programming activities across one or more clinical studies.

• Oversee the development and validation of SDTM, ADaM and TLF deliverables.

• Plan programming work, estimate timelines and coordinate task allocation.

• Review complex deliverables and ensure compliance with project, CDISC and regulatory requirements.

• Maintain traceability from source data through SDTM and ADaM to final statistical outputs.

• Support the preparation and review of Define-XML, aCRF, SDRG, ADRG and validation reports.

• Investigate and resolve complex programming, data and submission-readiness issues.

• Lead client-facing meetings and technical discussions.

• Monitor project quality, timelines, risks and programming status.

• Mentor programmers and provide technical leadership.

• Collaborate closely with biostatistics, data management, medical writing and project management teams.

Required Qualifications

• Extensive statistical programming experience within clinical research.

• Advanced SAS programming skills and strong knowledge of CDISC SDTM and ADaM standards.

• Extensive experience producing and independently reviewing SDTM, ADaM and TLF deliverables.

• Experience leading programming activities at study or project level.

• Strong understanding of regulatory submission requirements and end-to-end traceability.

• Experience reviewing submission documentation and resolving Pinnacle 21 findings.

• Ability to plan work, estimate timelines, oversee quality and manage programming risks.

• Strong client-facing communication and technical leadership skills.

• Ability to mentor programmers and make independent technical decisions.

• English at Upper-Intermediate level or higher.

About the Role

Trialt is expanding its Statistical Programming team to support international Phase I-IV clinical trials across a range of therapeutic areas. Our programmers work on projects for pharmaceutical, biotechnology, medical device and CRO clients across the US and Europe. Depending on the project and individual experience, you may join a client-dedicated assignment or work within a full-service biometrics team. Project assignments are based on your experience, expertise and current business needs.

What You Will Do

• Independently develop and validate SDTM and ADaM datasets.

• Produce and QC complex tables, listings and figures.

• Interpret protocols, SAPs, dataset specifications and mock shells.

• Take ownership of programming activities for an assigned study or workstream.

• Review deliverables produced by other programmers and provide technical guidance.

• Investigate data issues, SAS log findings and validation findings.

• Support submission deliverables and study documentation.

• Estimate tasks, monitor timelines and communicate project status.

• Participate in client meetings and technical discussions.

• Collaborate with biostatisticians, data managers, medical writers and project teams.

Required Qualifications

• Solid statistical programming experience within clinical research.

• Strong SAS programming skills, including DATA Step, PROC SQL and SAS Macro Language.

• Hands-on experience with SDTM, ADaM and TLF production and QC.

• Strong working knowledge of CDISC standards and controlled terminology.

• Understanding of traceability from source data through SDTM and ADaM to statistical outputs.

• Ability to work independently with protocols, SAPs, specifications and study documentation.

• Ability to manage programming activities for an assigned study or workstream.

• Strong communication, organisation and problem-solving skills.

• English at Upper-Intermediate level or higher.

Strong Pluses

• Previous experience as a Lead Programmer or readiness to take programming ownership.

• Experience with Define-XML, aCRF, SDRG and ADRG.

• Experience using Pinnacle 21 or similar validation tools.

• Experience supporting regulatory submissions.

• Experience with R or Python.

• Previous experience in an international CRO, FSP or sponsor environment.

Working Model

• Fully remote position.

• Full-time engagement.

• Long-term cooperation.

Join the Dataforest Team!

We are actively expanding our team and looking for strong new talent to join our ranks. If you are a Data Engineer seeking a friendly team, a healthy working environment, and a flexible schedule — you have found the right place to send your CV!

You'll be a great fit if you have:

- 2+ years of experience with Python;
- 2+ years of experience as a Data Engineer;
- Experience with Pandas;
- Experience with SQL DB / NoSQL (Redis, Mongo, Elasticsearch) / BigQuery;
- Familiarity with Amazon Web Services;
- Experience with Kafka;
- Knowledge of data algorithms and data structures is a MUST;
- Working with high volume tables 10m+.

What you'll do:

- Create ETL pipelines and data management solutions (API, Integration logic);
- Different data processing algorithms;
- Involvement in creation of forecasting, recommendation, and classification models.

Would be a plus:

- Experience with Spark (pyspark);
- Experience with Airflow;
- Experience in statistics;
- Knowledge of DS and Machine learning algorithms.

We ensure your growth with:

- Great networking opportunities with international clients, challenging tasks;
- Building interesting projects from scratch using new technologies;
- Personal and professional development opportunities;
- Competitive salary fixed in USD;
- Paid vacation and sick leaves;
- Flexible work schedule;
- Friendly working environment with minimal hierarchy;
- Team building activities, corporate events.

Backend Software Engineer (Python, AI)
 

Requirements:
- 6+ years of experience in backend design and development of production-grade applications.
- Strong experience with Python
- Solid experience with databases, preferably SQL
- Experience working with large-scale systems
- Experience with AI orchestration frameworks such as LangChain or LlamaIndex, or experience integrating third-party AI APIs such as OpenAI or Anthropic.
- Knowledge of networking infrastructure.
- Cybersecurity experience - a strong advantage.
- Ability to learn quickly and adapt to new technologies.
- Strong teamwork and collaboration skills.
 

Responsibilities:
- Take full ownership of features, from product design through deployment, including end-to-end feature architecture.
- Plan, design, and develop systems with complex performance and scalability requirements.
- Design, maintain, and contribute to the company’s code infrastructure.
- Design, build, and maintain robust, scalable server-side architecture.
- Integrate with Large Language Models (LLMs) and vector

B2B, remote, US Eastern Time clients, 2 calls per week with the team.

About the Role

We are looking for a Senior Forward Deployed Engineer who combines strong hands-on engineering, enterprise infrastructure expertise, and executive presence.

You will work directly with US-based mid-market and enterprise clients, understand complex business problems, design the technical solution, build and deploy it, integrate it into existing enterprise environments, and remain the trusted technical point of contact.

This is not a ticket-based engineering role. You will own the full journey:

Business Problem → Architecture → Build → Integration → Deployment → Client Outcome
 

What You'll Do

• Own client projects end-to-end with minimal handholding
• Turn ambiguous business problems into technical solutions
• Design and build production AI agents, applications, automations, integrations, and data pipelines
• Work with complex enterprise infrastructure, ERP systems, data warehouses, APIs, and cloud environments
• Make architecture and infrastructure decisions independently
• Use AI coding tools to build and ship quickly
• Work directly with client IT teams and senior stakeholders
• Lead client meetings and clearly explain technical decisions, progress, risks, and next steps
   

What We're Looking For

Strong Engineering & Architecture

• Approximately 7–12+ years of software engineering experience; flexible for exceptional candidates
• Strong hands-on development experience with TypeScript/JavaScript and Python
• Experience with technologies such as Next.js, PostgreSQL, Supabase, and APIs
• Ability to independently design system architecture and ship production software
• Former CTOs, Tech Leads, architects, founders, and consultants are welcome if they are still hands-on
   

Enterprise Infrastructure

Strong enterprise infrastructure experience is a key requirement.

You should have experience with:

• AWS, Azure and/or GCP
• ERP systems and enterprise integrations
• Data warehouses and data pipelines
• Microsoft/enterprise environments
• Authentication, security, and APIs
• Complex or legacy enterprise systems

You should be able to confidently discuss architecture and infrastructure with a client's IT team. This was explicitly highlighted by the hiring manager as increasingly important.
 

AI-Native Engineering

You should already use tools such as Claude Code, Codex, Cursor, or similar agentic coding tools as part of your normal development workflow.

Production experience with several of the following is expected:

LLM APIs · AI Agents · RAG · Vector Databases · MCP · Agent Frameworks · AI Automations

We care especially about how you work with AI—context, documentation, agents/sub-agents, code review, testing, and QA.

Executive Presence

This is a highly client-facing position.
 

You must have:

• Excellent spoken and written English
• Strong confidence and executive presence
• Experience communicating with senior client stakeholders
• Ability to explain complex technical topics in business language
• Confidence leading meetings with executives, operations teams, and enterprise IT
• Ability to become a trusted technical advisor rather than relying on someone else to manage the client relationship

The client specifically wants engineers who can independently represent the technical work in senior stakeholder meetings.
 

You're a Strong Fit If

You are a hands-on senior engineer who thinks like an architect, operates like an owner, and communicates like a consultant.

You don't wait for detailed specifications. You can understand the business problem, decide what should be built, build it, integrate it into a complex enterprise environment, and confidently present the result to the client.