Engineering Manager (m/f/d)

Westwing

JOIN OUR TEAM As Team Lead Mobile, you will lead our Mobile team in delivering our beautifully designed iOS and Android apps. With a strong understanding of both current and future business needs, you will take ownership of delivering new features and enhancements. Your leadership will foster the team’s growth through mentorship and the continuous optimisation of workflows and processes. This position is permanent and based in Munich. WHAT YOU'LL DO * Work closely with your Product Manager, taking ownership of technology to execute the product strategy while ensuring a high-quality user experience * Mentor mobile apps engineers, supporting their growth and career development * Oversee the team’s delivery by planning and scoping engineering work, ensuring commitments are met and collaborating effectively with stakeholders * Continuously refine the team’s workflows and processes to enhance efficiency and effectiveness through ongoing optimisation YOU COME WITH * Proven experience leading a mobile apps development team with a strong track record of mentoring and supporting engineers in their professional growth * Deep knowledge of mobile apps architecture and design patterns * Strong expertise in Swift, SwiftUI, and the iOS frameworks and ecosystem and solid understanding of Android development, including Kotlin and the Android frameworks and ecosystem * A product-driven approach to engineering, ensuring technical decisions directly support overarching business goals * Expertise in leveraging and integrating Agentic AI into engineering workflows to radically accelerate the software development lifecycle * Fluency in English WHY WESTWING If you are looking for a place where ambition meets creativity, where ideas turn into impact fast, and where people are trusted to grow - you have found it. At Westwing, we’re building the Superbrand in Design with a team that’s shaping the future of beautiful home & living. Here is what you can look forward to: • A high-performance culture built on trust, feedback and collaboration • An inspiring, international environment that empowers you to think big, take ownership, and grow beyond your comfort zone • A flexible hybrid setup with ideally 3 office days per week - because strong connections and quick collaboration make great ideas happen • Professionally equipped workstation of your personal choice • A competitive compensation package including salary, benefits, and equity  • 30 days of paid holiday to rest, recharge, and come back ready to create • A beautiful, centrally located, dog-friendly office with inspiring spaces, a sunny terrace, and good food - designed for moments that energise and connect • Exclusive discounts - 40% off Westwing Collection, 20% off third-party brands (each on non-reduced items), 10% Family & Friends discount, plus special-occasion vouchers • Wellbeing support through mental health resources, sports memberships, and preventive care • Sustainable mobility options with discounted public transport and JobRad - moving with purpose and care for the planet • Support for working parents, including our on-site Westwing Wichtel daycare and a partnership with multilingual provider Elly & Stoffl • One annual Social Impact Day to give back to a cause you care about - because being human is our true superpower • Team rituals that celebrate results and togetherness - from Summer & Winter Parties to Oktoberfest ABOUT US Westwing, Europe’s #1 in Beautiful Living e-commerce, is present in 20+ European countries and achieved a GMV (Gross Merchandise Volume) of EUR 507 million in 2025. As Europe’s premium one-stop destination for Design Lovers, it offers a unique brand experience with a carefully curated assortment of the Westwing Collection and 3rd party design brands. The integrated platform combines Shop, Daily Specials, Stores, the B2B Service (Westwing Business) and the Westwing Design Service. Westwing’s team works together on its shared purpose to “Excite people to create homes that unlock the full beauty of life”. Founded in 2011, Westwing is headquartered in Munich and went public on the Frankfurt Stock Exchange in October 2018. Our team is a diverse group of professionals aiming for high performance, working together at a fast pace in an inspiring, international and informal environment that enables you to grow your career while working with a brand and products our customers love. We’re made up of passionate people who are creative enough to disrupt the status quo, brave enough to fail and smart enough to win. So come, be part of the “wow, you work at Westwing?” crowd. Diversity is deeply rooted in our culture. Our mission doesn’t stop to inspire only your design choices, it continues to embrace an inclusive lifestyle filled with respect to everyone’s uniqueness, cultural differences and equal opportunity. DEPARTMENT Technology

Entrix

SHORT FACTS Join us on our journey at Entrix: We are hiring a Staff Data Scientist to shape how we trade the flexibility of our customers’ battery assets across European power markets. You will own the technical vision for our trading algorithms, drive the data science roadmap with the team, and deliver production systems that turn forecasts and optimization into revenue. This is a senior individual contributor role. You will spend your time on the hardest problems on the team: framing ambiguous trading challenges, designing systems that combine machine learning and optimization to deliver impactful results, and mentoring data scientists to raise the bar across the team. You will work closely with software engineers, product managers, and the leadership team to create a vision for the next generation of algorithmic trading at Entrix.  * Location: Munich, Germany * Employment Type: Full-Time, indefinite term * Salary Range: € 115.000 - 135.000 per year gross depending on the seniority level * Office-first work setup * Language Requirement: C1 Level English YOUR RESPONSIBILITIES * Research, develop, and productize algorithms and models that optimize financial returns in trading the flexibility of our customers’ assets * Shape the technical vision for how we trade the flexibility of assets across markets, breaking that vision into a roadmap the team can deliver against * Take ownership of our data science roadmap, driving alignment across teams on methodology choices, success metrics, and system design * Own the delivery of complex, ambiguous, large-scale projects from research to production deployment and monitoring. Anticipate dependencies and resolve them early * Foster technical excellence across the team, mentoring data scientists through design review, code review, and structured feedback * Champion engineering rigor in testing, code quality, observability, and reproducibility for analytical code running in production YOUR PROFILE Mandatory Requirements * 7+ years industry experience in applied data science, with significant time spent developing trading algorithms in the energy or financial sectors * Deep understanding of trading mechanics: price formation, market microstructure, risk, and the constraints that turn a backtest into a live strategy * University degree in Computer Science, Mathematics, Physics, or a related quantitative field * Strong expertise in python and software engineering practices: testing, code review, CI/CD, monitoring, and modular code design * Proven track record of taking machine learning and/or optimization models from research into reliable production systems on AWS or other cloud platforms * Experience mentoring junior data scientists and raising the technical bar of the team * Excellent English communication and interpersonal skills Skills to Set You Apart * Direct experience with energy trading, especially for flexibility of battery storage systems * Experience with both Machine Learning and Optimization development * Experience designing or owning real-time or near-real-time analytics workflows. YOUR BENEFITS * Competitive Compensation Package: Including salary, benefits, and potential for growth. * Professional Development: Annual development budget of €3,000 for coaching, training, books, etc. * Health & Sport Subsidy: Company-subsidized sports facility memberships. * Public Transportation Subsidy: Monthly subsidy for your public transport ticket. * Lunch/Dinner Allowance Vouchers: Digital meal vouchers for workdays. * Work Equipment: Your choice of MacBook or Windows Laptop and ergonomic workplace setup. * Regular Team Events: Knowledge sessions, afterwork hangouts, sports events, and company offsites. A SHORT NOTE FROM YOUR FUTURE LEAD I’m Austin Todd, Data Science Manager at Entrix. I lead our team of Data Scientists developing innovative algorithms for energy trading and optimization.  In my career I’ve had many exciting challenges and opportunities, with a consistent focus on developing innovative data science solutions in the energy industry and facilitating a transition to green energy solutions. Here’s a quick snapshot of my journey so far: * Data Science Manager @ sonnen (2021–2026): Built and scaled cross-functional data science teams, shaping the company vision for data science and AI development.  * Data Scientist IV @ NREL (2019–2021): Led research & development efforts for data science applications in wind and solar energy, transportation, and data center operations.  * Lead Data Scientist @ MeteoGroup (2017–2018): Drove the development of ML applications to build risk management tools for energy grid transmission operators.  * Data Scientist @ Telekom Innovation Labs (2015-2017): Supported new client acquisition for Deutsche Telekom through building of innovative data science solutions. Having spent most of my career building data science applications in the energy industry, I bring both a deep technical knowledge of data science methods and an understanding of how they can help shape the future of the industry.  As a manager, I help my teams by fostering innovation and research while driving rapid development that has a meaningful impact.  We believe great tech starts with great people. Collaboration, creativity, and an unrelenting focus on delivering results are at the heart of everything we do. If you’re ready to work with a team that’s reshaping industries and tackling some of the toughest challenges, I’d love for you to check out our opportunities. Join us, and let’s build something extraordinary together.  I’m looking forward to seeing what we can create together. YOUR CONTACT IN OUR PEOPLE TEAM If you have any questions, feel free to send us an email to talent@entrixenergy.com. We are looking forward to receiving your application!

Entrix

SHORT FACTS Join us on our journey at Entrix: We are looking for an experienced Quantitative Researcher to shape how we trade flexibility from our customers' battery assets across European power markets. We operate in markets that run 24/7 (DAA, IDC, aFRR, and others), meaning every model decision we make turns into real positions, real risk, and real revenue. In this role you will guide the next generation of algorithmic trading at Entrix to keep us at the forefront of innovation. Sitting at the intersection of quantitative research and applied data science, you will own the alpha generation pipeline behind our algorithms, from signal research and backtesting through to live trading and P&L attribution. This is a staff-level individual contributor role where you will spend your time on the hardest problems in the team: framing ambiguous trading challenges, designing systems that combine machine learning and optimization to deliver impactful results, and mentoring data scientists to raise the bar across the team. As one of the most senior members of the team, you will own the technical vision for our trading algorithms, help drive the team roadmap, and mentor a strong group of individual contributors working on the hardest problems in the European energy transition. * Location: Munich, Germany * Employment Type: Full-Time, indefinite term * Salary Range: € 115.000 - 135.000 per year gross depending on the seniority level * Office-first work setup * Language Requirement: C1 Level English YOUR RESPONSIBILITIES * Shape the technical vision and roadmap for our algorithmic trading stack, breaking that vision into work the team can deliver, communicating trade-offs, and driving alignment on methodology, success metrics, and system design. * Research, develop, and productize forecasts and strategies that generate alpha by trading flexibility in real-time European energy markets (DAA, IDC, aFRR, etc.), combining ML and optimization techniques to make 24/7 trading decisions. * Enhance our the backtesting, simulation, and P&L attribution capabilities that turn research into live strategies, with rigorous overfitting controls, risk-adjusted evaluation, and automated testing. * Foster technical excellence across the team by mentoring data scientists through design and code review, and by championing engineering rigor in code quality, observability, and reproducibility. * Own the delivery of complex, ambiguous projects from research to production. YOUR PROFILE Mandatory Requirements * 7+ years industry experience in quantitative research or applied data science, with significant time developing live trading algorithms in energy or financial markets. * Proven track record of P&L contribution from strategies you researched, backtested, and shipped to live trading. * Deep understanding of trading mechanics: price formation, market microstructure, execution, slippage, risk, and position sizing. * Strong fundamentals in time series modelling under non-stationarity and regime shifts, with disciplined backtesting practice (risk-adjusted metrics, overfitting controls, walk-forward validation). * Strong expertise in python and software engineering practices: testing, code review, CI/CD, monitoring, modular code design, and taking machine learning and/or optimization models from research into production systems. * Track record of mentoring junior team members and raising the technical bar of the team. * University degree in Computer Science, Mathematics, Physics, or a related quantitative field. * Excellent English communication and interpersonal skills. Skills to Set You Apart * Direct experience trading battery storage, flexibility, or other assets in European power markets. * Experience combining machine learning (forecasting, signal generation) with mathematical optimization (LP, MILP, stochastic) in a single production-level system. * Experience with financial derivatives (especially options), market making, or HFT systems. YOUR BENEFITS * Competitive Compensation Package: Including salary, benefits, and potential for growth. * Professional Development: Annual development budget of €3,000 for coaching, training, books, etc. * Health & Sport Subsidy: Company-subsidized sports facility memberships. * Public Transportation Subsidy: Monthly subsidy for your public transport ticket. * Lunch/Dinner Allowance Vouchers: Digital meal vouchers for workdays. * Work Equipment: Your choice of MacBook or Windows Laptop and ergonomic workplace setup. * Regular Team Events: Knowledge sessions, afterwork hangouts, sports events, and company offsites. A SHORT NOTE FROM YOUR FUTURE LEAD I’m Austin Todd, Data Science Manager at Entrix. I lead our team of Data Scientists developing innovative algorithms for energy trading and optimization. In my career I’ve had many exciting challenges and opportunities, with a consistent focus on developing innovative technical solutions in the energy industry and facilitating a transition to green energy solutions. Here’s a quick snapshot of my journey so far: * Data Science Manager @ sonnen (2021–2026): Built and scaled cross-functional data science teams, shaping the company vision for data science and AI development. * Data Scientist IV @ NREL (2019–2021): Led research & development efforts for data science applications in wind and solar energy, transportation, and data center operations. * Lead Data Scientist @ MeteoGroup (2017–2018): Drove the development of ML applications to build risk management tools for energy grid transmission operators. * Data Scientist @ Telekom Innovation Labs (2015-2017): Supported new client acquisition for Deutsche Telekom through building of innovative data science solutions. Having spent most of my career building data science applications in the energy industry, I bring both a deep technical knowledge of data science methodology and an understanding of how they can help shape the future of industry like energy. As a manager, I help my teams by fostering innovation and research while driving rapid development that has a meaningful impact. At Entrix, we believe great tech starts with great people. Collaboration, creativity, and an unrelenting focus on delivering results are at the heart of everything we do. If you’re ready to work with a team that’s reshaping industries and tackling some of the toughest challenges, I’d love for you to check out our opportunities. Join us, and let’s build something extraordinary together. Looking forward to seeing what we can create. YOUR CONTACT IN OUR PEOPLE TEAM If you have any questions, feel free to send us an email to talent@entrixenergy.com. We are looking forward to receiving your application!