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2026-10-06T00:00:00 Knottingley West Yorkshire GB WF11 9 Any 2027-01-04T23:00:54.557 Spotify is on an ambitious path to reach one billion users and 100 billion in revenue, and the Subscriptions User Understanding team plays a key role in making that possible. Our team builds the foundational data platform that helps Spotify understand conversion, retention, engagement, and subscriber health for more than 200 million Premium subscribers around the world. We enable better decisions across analytics, experimentation, machine learning, and product development. We're looking for a Staff Data Engineer who combines deep technical expertise with strategic thinking. You'll help define the long-term direction of our data ecosystem, influence engineering across multiple teams, and build the foundations that will scale with Spotify's future. • Define and drive the long-term data engineering strategy for the Subscriptions User Understanding domain, identifying opportunities that improve scalability, reliability, and business impact., • Design scalable batch and streaming data platforms that power analytics, experimentation, machine learning, and subscriber experiences., • Partner with Product, Engineering, Data Science, Analytics, and Platform teams to turn complex business challenges into durable, well-designed data solutions., • Lead architectural decisions and establish engineering best practices for data quality, governance, observability, reliability, and operational excellence across multiple squads., • Design data models and platform architecture that support sustainable growth toward one billion users while balancing performance, cost, and maintainability., • Simplify complex systems, reduce technical debt, and improve the developer experience across the broader data ecosystem., • Mentor senior engineers, influence technical direction through collaboration, and help foster a culture of thoughtful engineering, knowledge sharing, and continuous improvement., • You enjoy solving broad, cross-cutting engineering challenges and bringing teams together around a shared technical vision., • You have extensive experience designing, building, and operating large-scale cloud-native data platforms., • You have deep experience building reliable distributed data pipelines using technologies such as Scio, BigQuery, Dataflow, GCS, SQL, Python, or similar cloud-native tools., • You have a strong understanding of modern data modeling, metadata management, governance, and data quality practices., • You know how to balance immediate business needs with long-term architectural sustainability., • You influence technical direction through strong communication, sound judgment, and collaboration rather than formal authority alone., • You communicate effectively with engineers, product managers, data scientists, analysts, and senior leadership., • You enjoy mentoring engineers and helping technical teams grow through coaching, technical guidance, and thoughtful feedback., • You are motivated by building platforms that directly influence Spotify's long-term subscriber growth and business success. We offer you the flexibility to work where you work best! For this role, you can be within the EMEA region as long as we have a work location (excluding France due to on-call restrictions). This team operates within the Central European and GMT time zone for collaboration. Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It s in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we re here to support you in any way we can. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here: #s1-Gen Spotify is on an ambitious path to reach one billion users and 100 billion in revenue, and the Subscriptions User Understanding team plays a key role in making that possible. Our team builds the foundational data platform that helps Spotify understand conversion, retention, engagement, and subscriber health for more than 200 million Premium subscribers around the world. We enable better decisions across analytics, experimentation, machine learning, and product development. We're looking for a Staff Data Engineer who combines deep technical expertise with strategic thinking. You'll help define the long-term direction of our data ecosystem, influence engineering across multiple teams, and build the foundations that will scale with Spotify's future. What You'll Do Define and drive the long-term data engineering strategy for the Subscriptions User Understanding domain, identifying opportunities that improve scalability, reliability, and business impact. Design scalable batch and streaming data platforms that power analytics, experimentation, machine learning, and subscriber experiences. Partner with Product, Engineering, Data Science, Analytics, and Platform teams to turn complex business challenges into durable, well-designed data solutions. Lead architectural decisions and establish engineering best practices for data quality, governance, observability, reliability, and operational excellence across multiple squads. Design data models and platform architecture that support sustainable growth toward one billion users while balancing performance, cost, and maintainability. Simplify complex systems, reduce technical debt, and improve the developer experience across the broader data ecosystem. Mentor senior engineers, influence technical direction through collaboration, and help foster a culture of thoughtful engineering, knowledge sharing, and continuous improvement. Who You Are You enjoy solving broad, cross-cutting engineering challenges and bringing teams together around a shared technical vision. You have extensive experience designing, building, and operating large-scale cloud-native data platforms. You have deep experience building reliable distributed data pipelines using technologies such as Scio, BigQuery, Dataflow, GCS, SQL, Python, or similar cloud-native tools. You have a strong understanding of modern data modeling, metadata management, governance, and data quality practices. You know how to balance immediate business needs with long-term architectural sustainability. You influence technical direction through strong communication, sound judgment, and collaboration rather than formal authority alone. You communicate effectively with engineers, product managers, data scientists, analysts, and senior leadership. You enjoy mentoring engineers and helping technical teams grow through coaching, technical guidance, and thoughtful feedback. You are motivated by building platforms that directly influence Spotify's long-term subscriber growth and business success. Where You’ll Be We offer you the flexibility to work where you work best! For this role, you can be within the EMEA region as long as we have a work location (excluding France due to on-call restrictions). This team operates within the Central European and GMT time zone for collaboration. Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It s in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we re here to support you in any way we can. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here #J-18808-Ljbffr

Spotify seeks a Staff Data Engineer for the Subscriptions User Understanding domain to define long-term data engineering strategy and build scalable data platforms that power analytics, experimentation, and ML. You will partner across product, engineering, analytics, and platform teams to deliver durable data solutions. You will mentor senior engineers, drive architectural decisions, and help shape data governance, quality, and observability across multiple squads while balancing cost, #J-18808-Ljbffr

Aqua Consultants Ltd. is seeking a skilled Resource Planning & Allocation specialist in the United Kingdom to coordinate demand and supply of consulting resources across multiple projects and frameworks. You will forecast workload, balance skills with availability, and partner with project managers to ensure timely delivery while mitigating conflicts and bottlenecks. A strong analytics mindset and stakeholder engagement are essential. #J-18808-Ljbffr

TAIT partners with artists, brands, IP holders and place makers to bring culture-defining, never-before-seen experiences to life. With a legacy of innovation spanning over 45 years, TAIT has grown from pioneering in rock ‘n’ roll concert staging to setting the global standard for extraordinary live events and experiences through cutting-edge technology, precision engineering, and creative design. TAIT’s 20 global offices have developed iconic productions and experiences in over 30 countries, all seven continents, and even outer space for renowned performers, theme parks, exhibits, and venues across the globe, including partnerships with Taylor Swift, Cirque Du Soleil, Royal Opera House, Nike, NASA, Bloomberg, Google, Beyoncé, and The Olympics The Software Product Owner II independently owns product areas or moderately complex initiatives for Technology Market software products. Product assignments may include software platforms, shared capabilities, integrations, workflows, operational tools, deployment models, or related software-enabled products. The role brings together company priorities, user needs, technical considerations, delivery realities, customer commitments, and business constraints to make clear product choices. The role works closely with Software Product Strategy, Architecture, Engineering, Design, QA, Technical Delivery, Support, Sales, Program Leadership, and other stakeholders so software products are coherent, deliverable, supportable, and aligned to intended outcomes. • Own product vision, strategic direction, roadmap inputs, business rationale, product boundaries, and intended outcomes for assigned software work., • Own product priorities with company objectives, market direction, customer needs, operational workflows, technical investment, and expected business outcomes., • Own roadmap implications, risks, assumptions, dependencies, and trade-offs to product leaders and cross-functional stakeholders., • Own discovery and product framing for user workflows, platform capabilities, integrations, technically complex opportunities, or ambiguous customer needs., • Own customer evidence, market changes, product performance, support feedback, delivery learning, and user research to adjust priorities and recommendations., • Own user need, business objective, contractual requirement, product opportunity, implementation detail, and technical constraint in product decisions., • Own clear features, requirements, user stories, release priorities, acceptance criteria, success measures, and outcome expectations for assigned software work., • Own trade-offs among user value, business value, platform coherence, reliability, integration complexity, delivery capacity, customer commitments, technical debt, and long-term product health., • Own whether delivered capabilities meet intended user, operational, product, and business outcomes., • Own priorities, dependencies, shared capabilities, customer commitments, release plans, and scope decisions across product, engineering, architecture, QA, support, and delivery teams., • Own with Engineering, Architecture, Design, QA, Technical Delivery, Support, Sales, and other stakeholders to ensure software decisions are feasible, coherent, deliverable, supportable, and scalable., • Own product decisions during planning, roadmap reviews, investment discussions, customer engagements, release readiness, and major program decisions., • Own product health, platform modernization, migration, compatibility, deployment, support lifecycle, and operational reliability considerations in roadmap and release decisions., • Own learning from software delivery, support activity, product analytics, customer feedback, and operational performance into future product direction., • Own reusable product development with customer‑specific, project‑driven, or contractually committed work., • Product direction, requirements, and priorities are clear, approved, and usable by Program Leadership, Engineering, and cross-functional partners., • Assigned software product work remains aligned to portfolio strategy, user needs, business outcomes, and approved scope., • Product decisions, trade-offs, assumptions, risks, and changes are documented and communicated at the right level., • Delivered product capabilities meet intended user, operational, quality, supportability, and business outcomes., • Bachelor's degree, or equivalent practical experience in engineering, computer science, business, product management, human-computer interaction, or a related field preferred., • Typically 3–5 years’ experience in software product ownership, product management, business analysis, or a closely related role., • Experience owning a defined software product area, feature set, or platform capability from discovery through delivery, release, and continuous improvement., • Experience translating customer, user, and business needs into clear product outcomes, priorities, user stories, acceptance criteria, and release plans., • Experience managing and prioritising a product backlog using Agile, Scrum, Kanban, or similar delivery practices., • Experience working collaboratively with software engineering, design, testing, delivery, support, and commercial stakeholders., • Experience using customer feedback, product data, operational insight, and delivery learning to improve product decisions., • Experience communicating product priorities, trade-offs, risks, and progress clearly to both technical and non-technical audiences., • Experience working with integrated systems, APIs, technical platforms, or products requiring coordination across multiple teams would be advantageous., • Equivalent practical experience will be considered in place of formal qualifications., • Competitive pension scheme with employer contributions, • Life assurance (4x salary), • Medicash health cashback plan (covering dental, optical, and more), • Employee Assistance Program (EAP) with 24/7 support, • Cycle to Work scheme, • Income protection / critical illness cover, • Optional private medical insurance (role/level dependent), • Paid annual leave starting at 23 days, increasing with service, • UK bank holidays TAIT is an equal opportunity employer fully committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran or any other protected characteristic as outlined by international, national, state, or local laws. #J-18808-Ljbffr

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