Senior Full-Stack AI Engineer

About Us At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed. We are looking for a Senior ML & AI Engineer to join us as part of our team. About the role PitchBook’s Machine Learning Engineer is responsible for using machine learning, statistical modeling, and natural language processing (NLP) to collect a high-volume of data for the PitchBook Platform and surface insights for the capital markets. This role will also serve as a resource and mentor for junior members of the team. A strong motivation to succeed is critical and everyone has the opportunity to shape the long-term direction of our team. About the project PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others. Features of PitchBook: Advanced search / Discovery & insights / Company profiles / Workflow & efficiency / Financials and many more. Team: 1 EM, 6 ML Engineers Work Environment: The role offers a flexible work schedule, allowing you to adapt your working hours with the requirement to attend all team meetings. The team follows a Scrum-based Agile methodology. Tech Stack & Focus Areas: Work with generative AI and transformer models, integrating frameworks like LangChain, LangGraph, and LangSmith to automate workflows and build intelligent systems. Use PyTorch, Scikit-Learn, and Spacy to build NLP pipelines. Implement vector databases for high-dimensional data embeddings and develop hybrid models to extract insights from diverse data sources. As a qualified expert You will

• Work with GenAI & LLMs: Design, develop, and fine-tune generative AI models using transformer architectures. Implement advanced techniques to create practical solutions for real-world challenges.

• Use Modern Toolkits: Leverage frameworks like LangChain, LangGraph, and LangSmith to build automated pipelines and intelligent agents. Integrate these tools with vector databases for efficient similarity search and real-time analysis.

• Extract Data Insights: Process and analyze large volumes of unstructured data using embeddings and statistical modeling to identify meaningful insights.

• Build Scalable Systems: Collaborate with cross-functional teams to create production-grade ML systems that handle real-time, high-volume data processing.

• Mentor & Lead: Act as a mentor for junior team members and stay updated on trends in Agentic AI, transformer models, and generative systems.

• Collaborate & Communicate : Work with Product and Engineering teams to improve data management and support innovation. Present complex analyses clearly and effectively.

• Tech Stack & Focus Areas: Work with generative AI and transformer models, integrating frameworks like LangChain, LangGraph, and LangSmith to automate workflows and build intelligent systems. Use PyTorch, Scikit-Learn, and Spacy to build NLP pipelines. Implement vector databases for high-dimensional data embeddings and develop hybrid models to extract insights from diverse data sources.

We’re looking for you if you have

• Educational Background: You hold a Bachelor’s or Master’s degree in Computer Science, Machine Learning, Statistics, or a related field.

• Experience: You bring 4+ years of production experience in the ML field, with a track record in developing transformer-based models and deploying them in scalable systems.

• Technical Expertise:

• Proficient in Python and machine and deep learning frameworks like TensorFlow, PyTorch, ScikitLearn, Spacy or other.

• Experienced in natural language processing and modern LLM based techniques.

• Experience with full ML lifecycle, data preprocessing, training, evaluation stages and monitoring techniques

• Skilled with SQL and data extraction methods.

• Innovative Thinker: You thrive on solving complex problems and are always exploring new trends in Generative AI.

• Collaborator & Communicator: You’re an excellent communicator able to collaborate and express your thoughts in a professional manner to team members, other engineering teams and stakeholders.

• Domain Knowledge: Exposure to financial services, investment banking, venture capital, or private equity is nice to have.

Reveal great tech solutions Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling client growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients. Experience an agile and flexible working environment Enjoy the freedom of fully remote work with a flexible working schedule. Empower yourself with a stable workload and a stable income, supported by provided laptops and licensed software. We focus on lasting cooperation and unite result-oriented individuals who stand on a high-performance approach to work. Embrace the opportunity for personal and professional growth Benefit from performance and merit reviews, elevate your skills with personal development plans, and individual learnings through the corporate library, public speaking support, and more. Be among like-minded people Work with a team of one mind who cares about what they do and how they do. Collaborate with top-notch experts who are always ready to help and support you through any challenges. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Feel supported by your HR, and take advantage of our referral bonus program. Interview steps

• Pre-Screening with the recruiter

• Technical interview (up to 90 min)

• System Design interview (up to 45 min)

• Behavioral Round with Product Manager (45 min)

• Final interview with Engineering Manager (30 min)

Kateryna Leonova Middle Talent Acquisition Specialist

About SPD Technology

SPD Technology is a global software product development company that creates cutting-edge tech solutions that drive clients’ growth. We provide software engineering, product development, and IT consulting services to world-renowned companies, ranging from Fortune 500 firms to emerging startups across the globe. Founded in 2006, we’ve delivered over 460 custom projects for high-growth startups, SMBs, and enterprises, building strong partnerships with industry leaders such as PitchBook, Morningstar, Blackhawk Network, Poynt, Space Needle, and many more. Specialising in fintech and digital payment solutions, data engineering, AI/ML, and Cloud technologies, we build products ranging from MVPs to complex, enterprise-grade solutions. We are presented globally: we have 2 development centers in Europe, a representative office in Romania, the U.K., Cyprus, and remote teams, working worldwide from 32 countries around the globe.

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© SPD Technology 2026. All rights reserved

About Us At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed. And now we are looking for an Engineering Manager to join us as part of our team.

About the role PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of millions of companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others. Data Collection Technology is a core technology domain responsible for ingesting, processing, managing, and publishing data to the main platform. It combines a suite of battle-proven legacy data collection tools with a modern data collection platform. The broader data management platform provides a unified environment for managing and validating data across both private and public markets. It brings together multiple tools and workflows, standardizes quality-assurance processes, and enables scalable automation for data operations. As an Engineering Manager in PitchBook’s DataTech team, you will be responsible for ensuring your teams execute well and deliver the outcomes they commit to. Your primary focus will be strengthening delivery capabilities and helping teams improve planning, execution and predictability. You will also ensure effective platform-wide operational processes, including customer support and incident management. People management and team development remain important responsibilities, with successful and sustainable delivery as the primary focus. Tech Stack: Java 21, Kubernetes/GitOps, Spring Boot, MFE Architecture, OpenAPI, PostgreSQL, Kafka, Redis Team setup: 2 teams Work Environment: ​​flexible

As a qualified expert You will Own delivery and engineering outcomes for DataTech teams

• Be accountable for delivery, velocity, quality, reliability and scalability
• Ensure work is aligned with DataTech priorities, using effective visualization and reporting to understand delivery, identify problems and drive improvements

Ensure strong SDLC execution and technical quality

• Ensure teams execute effectively across refinement, design, estimation, implementation, testing and deployment
• Identify execution gaps and work with SDE Leads to improve how delivery works
• Invest in improving a AI-enabled SDLC, including adoption and evolution of SDD frameworks and practices

Plan and manage capacity

• Own short- and long-term capacity and capability planning
• Allocate people in line with DataTech priorities and delivery commitments
• Surface capacity and delivery risks and drive mitigation

Own product quality, reliability and operations

• Be accountable for stability, reliability, performance and overall quality
• Ensure effective platform-wide customer support, incident management, observability and other operational processes
• Balance delivery with technical health and operational needs

Lead and grow engineers and SDE Leads

• Manage engineers and SDE Leads through coaching, feedback, growth and performance management
• Build and evolve teams through hiring, onboarding and shaping the right skill mix
• Maintain healthy team dynamics and address people issues early

Strengthen ways of working and collaboration

• Improve engineering practices where they help teams deliver more effectively
• Partner with Product, Data and other domains to align plans and manage dependencies
• Contribute to domain-level planning and cross-team collaboration

We’re looking for you if you have

• Proven engineering leadership experience managing multiple software/data engineering teams
• Strong track record of delivery, including improving planning, prioritization and execution
• Ability to use delivery data, visualization and reporting to identify problems and drive improvements
• Strong people-management skills: coaching, performance management and team development
• Strong technical judgment and ability to work with engineering leads to improve delivery practices, including effective use of GenAI and SDD
• Clear communication and collaboration skills with technical and non-technical stakeholders
• Ownership mindset: accountable for delivery as well as long-term quality and maintainability
• Excellent written and verbal communication skills in English

Bonus points

• Experience in DataTech-like domains (data ingestion, processing, curation).
• Familiarity with Stream-Aligned Teams / Team Topologies.
• Experience working with Architecture, Platform, SRE and other enabling teams.
• Experience improving observability, reliability and incident management for backend/data services.

What’s in it for You Reveal great tech solutions Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling client growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients. Experience an agile and flexible working environment Enjoy the freedom of fully remote work with a flexible working schedule. Empower yourself with a stable workload and a stable income, supported by provided laptops and licensed software. We focus on lasting cooperation and unite result-oriented individuals who stand on a high-performance approach to work. Embrace the opportunity for personal and professional growth Benefit from performance and merit reviews, elevate your skills with personal development plans, and individual learnings through the corporate library, public speaking support, and more. Be among like-minded people Work with a team of one mind who cares about what they do and how they do. Collaborate with top-notch experts who are always ready to help and support you through any challenges. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Feel supported by your HR, and take advantage of our referral bonus program.

Interview steps

• Pre-Screening with the recruiter
• Manager screening
• Tech Interview
• Architecture interview
• HRBP Interview
• Client Interview

Bohdan Hnatiuk Senior Talent Acquisition Specialist

Work Type: Full-time, Remote

Category: Engineering

Location: Germany, Poland, Portugal, Romania, Spain, Ukraine

Posted 3 weeks ago

Apply for this position Any questions left? I'm happy to help Bohdan Hnatiuk Senior Talent Acquisition Specialist

About SPD Technology

SPD Technology is a global software product development company that creates cutting-edge tech solutions that drive clients’ growth. We provide software engineering, product development, and IT consulting services to world-renowned companies, ranging from Fortune 500 firms to emerging startups across the globe. Founded in 2006, we’ve delivered over 460 custom projects for high-growth startups, SMBs, and enterprises, building strong partnerships with industry leaders such as PitchBook, Morningstar, Blackhawk Network, Poynt, Space Needle, and many more. Specialising in fintech and digital payment solutions, data engineering, AI/ML, and Cloud technologies, we build products ranging from MVPs to complex, enterprise-grade solutions. We are presented globally: we have 2 development centers in Europe, a representative office in Romania, the U.K., Cyprus, and remote teams, working worldwide from 32 countries around the globe.

Send us your CV! Maybe we need you but we haven't known about that yet.

Resume

Upload a file or drag & drop here

Yes, I confirm my consent to the processing of personal data and accept the terms of the recruitment privacy policy .

Δ

Software Product Development Company

• Company

• Contact Us

• Blog

• About Us

• Case Studies

• Careers

• Locations

• London, UK

• Larnaca, Cyprus

• Bucharest, Romania

• Kyiv, Ukraine

• Cherkasy, Ukraine

• Info

• Privacy Policy

• CCPA Policy

• RECRUITMENT & EMPLOYMENT PRIVACY NOTICE

• Change Cookie Preferences

• [email protected]

© SPD Technology 2026. All rights reserved

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At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed. And now we are looking for a Senior Data Engineer to join us as part of our team. About the role We are looking for a Senior Data Engineer to lead the build of an automated payments reporting and analytics platform for a client in the payments space. Today, revenue reporting for this business depends on manual journal entries and manual assembly of results — the general ledger and BI reporting do not reconcile without human intervention, and reporting is too aggregated to explain performance. Your mission is to replace that with a consistent, automated data flow: daily pipelines that land processor, CRM, and ERP data into a cloud data warehouse, post automatically to the general ledger, and feed a reporting layer granular enough to decompose any variance to budget down to its root cause. This is a high-ownership role with direct visibility to finance and business stakeholders, where the quality of your data models directly determines whether the business can trust its numbers. Technical Stack Core: Snowflake, dbt, SQL, Python, a modern orchestrator (Airflow / Dagster / Prefect), Git + CI/CD. Source systems in scope: multiple payment processors and a core payments API, a CRM (customer & pricing attributes), and an ERP/general ledger. A BI tool renders the end-user dashboards on top of the modeled data. As a qualified expert You will

Design and build automated, reliable ELT pipelines that integrate data from multiple source systems (payment processors, CRM, and ERP) into a cloud data warehouse on a daily cadence.

Automate financial reporting to the general ledger that reconciles with the reporting layer by design, replacing manual, error-prone processes.

Build and maintain a data-mapping layer that resolves customer identity across systems and rolls transactions up to a single customer key.

Model clean, well-documented data marts that make business performance explainable and support drill-down and variance analysis.

Deliver the data models that power a KPI and forecasting dashboard for finance and business stakeholders.

Ensure pipelines are robust and auditable with monitoring, data-quality checks, and alerting so issues are caught before reporting is consumed.

Collaborate with BI, finance, and integration partners to turn business requirements into reliable data products and define phased delivery.

We’re looking for you if you have

5+ years of professional experience in data engineering, with a track record of owning production data pipelines end to end.

Expert-level SQL — complex analytical queries, window functions, query optimization, and dimensional / star-schema data modeling.

Hands-on experience on a modern cloud data warehouse, ideally Snowflake (or comparable: BigQuery, Redshift, Databricks).

Strong experience with dbt (or an equivalent ELT transformation framework) for transformation and building tested, documented, version-controlled data models.

Proven experience building and scheduling ELT/ETL pipelines using a workflow orchestrator (e.g. Airflow, Dagster, Prefect) and designing idempotent, re-runnable, incremental loads.

Experience implementing data-quality testing, monitoring, and alerting as first-class parts of a pipeline.

Strong communication skills with the ability to work directly with finance/business stakeholders, clarify requirements, and explain data-model decisions clearly (English, written and spoken).

Bonus points

Domain experience in payments, FinTech, or financial-services data — familiarity with concepts such as interchange, scheme/network fees, take rate, chargebacks, authorization rates, or surcharging.

Experience integrating payment-processor data (e.g. Worldpay, Adyen, Stripe) and normalizing heterogeneous processor data into a single model.

Experience supporting BI/analytics teams and self-service reporting tools (e.g. Power BI, Tableau, Looker, Sigma).

Exposure to analytics engineering or hands-on work with forecasting / cohort-based analytical models.

Data contracts and governance practices (dbt exposures, contracts/tests, semantic layers).

Reveal great tech solutions Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling client growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients. Experience an agile and flexible working environment Enjoy the freedom of fully remote work with a flexible working schedule. Empower yourself with a stable workload and a stable income, supported by provided laptops and licensed software. We focus on lasting cooperation and unite result-oriented individuals who stand on a high-performance approach to work. Embrace the opportunity for personal and professional growth Benefit from performance and merit reviews, elevate your skills with personal development plans, and individual learnings through the corporate library, public speaking support, and more. Be among like-minded people Work with a team of one mind who cares about what they do and how they do. Collaborate with top-notch experts who are always ready to help and support you through any challenges. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Feel supported by your HR, and take advantage of our referral bonus program. Interview steps

Pre-Screening with the recruiter (up to 30 min)

Technical Interview (up to 90 min)

Interview with Manager (45 min)