{"id":198559,"url":"https://alion.io/job/spd-technology-engineering-manager-in-datatech","title":"Engineering Manager in DataTech","company":{"id":98231,"name":"SPD Technology","domain":"spd.tech","url":"https://alion.io/company/spd-technology","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":null},"role":"Leadership","role_family":"Leadership","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Ukraine"],"countries":["UA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":27000,"max_usd":80000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2356},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Incident Management","optional":false},{"name":"Java","optional":false},{"name":"Apache Kafka","optional":true},{"name":"GitOps","optional":true},{"name":"Kubernetes","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Redis","optional":true},{"name":"Spring Boot","optional":true}],"status":"live","first_seen_at":"2026-08-10T00:00:00Z","employer_posted_date":"2026-08-10","last_verified_at":"2026-10-27T22:35:45Z","board_verified":true,"closed_at":null,"days_open":78,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":78},"description":"About Us\nAt 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.\nAnd now we are looking for an Engineering Manager to join us as part of our team.\nAbout the role\nPitchBook - 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.\nData 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.\nThe 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.\nAs 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.\nYou 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.\nTech Stack: Java 21, Kubernetes/GitOps, Spring Boot, MFE Architecture, OpenAPI, PostgreSQL, Kafka, Redis\nTeam setup: 2 teams\nWork Environment: flexible\nAs a qualified expert You will\nOwn delivery and engineering outcomes for DataTech teams\nBe accountable for delivery, velocity, quality, reliability and scalability\nEnsure work is aligned with DataTech priorities, using effective visualization and reporting to understand delivery, identify problems and drive improvements\nEnsure strong SDLC execution and technical quality\nEnsure teams execute effectively across refinement, design, estimation, implementation, testing and deployment\nIdentify execution gaps and work with SDE Leads to improve how delivery works\nInvest in improving a AI-enabled SDLC, including adoption and evolution of SDD frameworks and practices\nPlan and manage capacity\nOwn short- and long-term capacity and capability planning\nAllocate people in line with DataTech priorities and delivery commitments\nSurface capacity and delivery risks and drive mitigation\nOwn product quality, reliability and operations\nBe accountable for stability, reliability, performance and overall quality\nEnsure effective platform-wide customer support, incident management, observability and other operational processes\nBalance delivery with technical health and operational needs\nLead and grow engineers and SDE Leads\nManage engineers and SDE Leads through coaching, feedback, growth and performance management\nBuild and evolve teams through hiring, onboarding and shaping the right skill mix\nMaintain healthy team dynamics and address people issues early\nStrengthen ways of working and collaboration\nImprove engineering practices where they help teams deliver more effectively\nPartner with Product, Data and other domains to align plans and manage dependencies\nContribute to domain-level planning and cross-team collaboration\nWe’re looking for you if you have\nProven engineering leadership experience managing multiple software/data engineering teams\nStrong hands-on experience in software development, primarily with the Java stack\nStrong track record of delivery, including improving planning, prioritization and execution\nAbility to use delivery data, visualization and reporting to identify problems and drive improvements\nStrong people-management skills: coaching, performance management and team development\nStrong technical judgment and ability to work with engineering leads to improve delivery practices, including effective use of GenAI and SDD\nClear communication and collaboration skills with technical and non-technical stakeholders\nOwnership mindset: accountable for delivery as well as long-term quality and maintainability\nExcellent written and verbal communication skills in English\nBonus points\nExperience in DataTech-like domains (data ingestion, processing, curation).\nFamiliarity with Stream-Aligned Teams / Team Topologies.\nExperience working with Architecture, Platform, SRE and other enabling teams.\nExperience improving observability, reliability and incident management for backend/data services.\nWhat’s in it for You\nReveal great tech solutions\nJoin the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling clients 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.\nExperience an agile and flexible working environment\nWork fully remote around the globe, or in a hybrid work model from our office hubs which are equipped with everything needed for comfortable work. Enjoy a flexible working schedule and create work and rest balance for yourself. Empower yourself with a stable workload and a stable income, focusing on lasting cooperation and high-performance culture.\nEmbrace the opportunity for personal and professional growth\nTake advantage of performance review and career path. Elevate your skills with mentorship program, personal development plan, and individual learnings through the corporate library, public speaking support, and more.\nFeel cared about\nBe among like-minded people and feel supported with collaboration, open communication and mutual respect. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values.\nInterview steps\nInterview with the recruiter\nManager screening \nTech Interview \nArchitecture interview \nHRBP Interview \nTPM Interview \nClient Interview","description_format":"text","description_chars":6716,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Equity","Flexible schedule","Hybrid work"],"hiring_locations":[{"name":"Germany","iso":"DE","kind":"country"},{"name":"Poland","iso":"PL","kind":"country"},{"name":"Romania","iso":"RO","kind":"country"},{"name":"Spain","iso":"ES","kind":"country"},{"name":"Ukraine","iso":"UA","kind":"country"},{"name":"Portugal","iso":"PT","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","IT Outsourcing & Dedicated Teams","Custom Software Development","AI Consulting & Integration"],"lifecycle":[{"event":"open","at":"2026-09-03T22:13:27Z"}],"visa":[],"liveness":{"score":18,"band":"cold","label":"Long shot","p_open":1,"p_active":0.627,"p_room":0.28,"age_days":78,"expected_fill_days":36,"reasons":["conf:1","urgency","velocity","win:tail","crowd:"],"computed_at":"2026-10-27T05:46:45Z"},"pay":null,"html_url":"https://alion.io/job/spd-technology-engineering-manager-in-datatech","json_url":"https://alion.io/job/spd-technology-engineering-manager-in-datatech.json","meta":{"generated_at":"2026-10-27T23:15:43Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":15155,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-28T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":98231},"rest":"https://alion.io/mcp/rest/get_company?id=98231"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fspd-technology-engineering-manager-in-datatech"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fspd-technology-engineering-manager-in-datatech"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fspd-technology-engineering-manager-in-datatech"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/spd-technology-engineering-manager-in-datatech\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fspd-technology-engineering-manager-in-datatech"}]}