Engineering Manager in DataTech

About the Position

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.

We are looking for an Engineering Manager in DataTech to join our team. As part of our 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.

About the Role

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.

Responsibilities

• 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 an 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

Requirements

• 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

Nice to Have

• 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

We Offer

• 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

Tech Stack

• Java 21
• Kubernetes/GitOps
• Spring Boot
• MFE Architecture
• OpenAPI
• PostgreSQL
• Kafka
• Redis

Apply Now

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Bohdan Hnatiuk

Senior Talent Acquisition Specialist