Senior Cloud Platform Engineer (m/w/d) DevOps

Thoughtworks

Principal data engineers at Thoughtworks, are strategic leaders who spearhead data engineering initiatives, tackle complex business challenges and uncover transformative insights. They possess a deep understanding of a client's business ecosystem and partner with executives to align technology strategies with business objectives. By contextualizing emerging trends and Thoughtworks' exploration, they expand the impact of data engineering within the client organization. They draw upon their profound expertise in developing modern data architectures and infrastructure for the management of data applications. Effective collaboration is paramount, as data engineers adeptly convey their discoveries to both technical and non-technical stakeholders. They stay abreast of industry advancements, ensure data quality and security, and provide mentorship to junior team members. At Thoughtworks, data engineers leverage their deep technical knowledge to solve complex business problems, making a significant impact on client success. JOB RESPONSIBILITIES * You will collaborate with sales and pre-sales to clarify requirements and design viable solutions and drive pursuits with technical stakeholders. * You will establish a clear vision and direction for the data paradigm/practices, aligning it with the overall business strategy. * You will collaborate with executive level stakeholders to understand their strategic objectives and identify opportunities to leverage data and data quality. * You will consult on complex data platform programs, synchronizing cross-cutting architectural concerns and providing client-facing technical leadership and guidance as a data subject matter expert. * You will be responsible to create, design and develop intricate data processing pipelines, addressing clients' most challenging problems. * You will collaborate with data scientists to design scalable implementation and production of their models. * You will write clean and iterative code based on TDD and leverage various continuous delivery practices to deploy, support and operate data pipelines. * You will design and implement the strategy around data governance, data security and data privacy to support business and compliance requirements. * You will represent Thoughtworks in various online and offline forums, including events and conferences. JOB QUALIFICATIONS TECHNICAL SKILLS * You must have extensive pre-sales experience and a proven ability to independently drive complex pursuits and create winning commercial proposals. * You have experience leading enterprise data strategy, system design, and the end-to-end implementation of large-scale technical solutions. * You are a native-level German speaker (C1) who is comfortable driving consensus and managing expectations with senior technical stakeholders. * You possess hands-on experience in system design using Domain-Driven Design principles for complex enterprise organizations with multiple domains. * Working with data excites you; you have designed Big Data architectures, built and operated data pipelines, and managed data storage within distributed systems. * You have a deep understanding of data modeling and practical experience with modern data engineering tools, platforms, and cloud warehousing solutions. * You are a "hands-on" leader—equally happy writing production-grade code as you are leading a team to implement a vision. * You have built and deployed large-scale data pipelines and data-centric applications using distributed storage and processing platforms in production environments. * You have experience designing and developing streaming solutions (Cloud or On-premise) leveraging leading technologies and industry best practices. * You have experience implementing data governance and security policies, complemented by a solid understanding of MLOps and data science concepts. PROFESSIONAL SKILLS * You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way. * You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives. * You don’t shy away from risks or conflicts, instead you take them on and skillfully manage them. * You coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work. * You enjoy influencing others and always advocate for technical excellence while being open to change when needed. * You are a proven leader with a track record of encouraging teammates in their professional development and relationships. * Cultivating strong partnerships comes naturally to you; You understand the importance of relationship building and how it can bring new opportunities to our business. OTHER THINGS TO KNOW LEARNING & DEVELOPMENT There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys. RESPONSIBLE USE OF AI IN RECRUITMENT At Thoughtworks, we use AI tools to support our recruitment team with administrative tasks such as drafting communications, scheduling interviews and writing job descriptions. Crucially, our AI tools do not screen, assess, rank or make hiring decisions. Every application is reviewed by our team and all selection decisions are made exclusively by our interviewers and hiring managers. We are committed to fairness and responsible AI. We actively manage our AI systems by testing, monitoring for biased outcomes and implementing mitigation measures. We hold our third-party vendors to these same high standards through a rigorous governance process. For additional information, please see our full Thoughtworks AI Policy for Recruitment. ABOUT THOUGHTWORKS Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. For 30+ years, we’ve delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let’s be extraordinary. #LI-Onsite See here our AI policy.

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!

STARK

ABOUT US STARK is a new kind of defence technology company revolutionising the way autonomous systems are deployed across multiple domains. We design, develop and manufacture high-performance unmanned systems that are software-defined, mass-scalable and cost-effective. This provides our operators with a decisive edge in highly contested environments. We’re focused on delivering deployable, high-performance systems—not future promises. In a time of rising threats, STARK is bolstering the technological edge of NATO Allies and their Partners to deter aggression and defend Europe—today. ABOUT THE TEAM The Flight Science team is responsible for analysing, processing and interpreting data generated throughout the development and testing of our autonomous systems. By building reliable data infrastructure and scalable analytics workflows, the team enables engineers to make informed decisions that improve system performance, reliability and operational capability. Working closely with software, robotics and flight test engineers, the team transforms complex engineering data into actionable insights that drive product development YOUR MISSION As a Data Engineering Intern / Working Student, you will help build and maintain the data infrastructure that powers the Flight Science team's analytics and decision-making. You will develop reliable data pipelines, improve data quality and collaborate with engineers to ensure flight and operational data is accessible, accurate and scalable. RESPONSIBILITIES * Develop and maintain automated ETL/ELT pipelines to ingest, clean and structure raw flight test and simulation data. * Optimise data workflows to reduce processing latency and improve access to engineering analytics. * Implement data validation and monitoring processes to identify pipeline failures, anomalies and missing data. * Collaborate with Flight Science engineers to design scalable data models and database schemas. * Integrate new internal and external data sources, including weather and telemetry datasets. * Document pipeline architecture, data models and system dependencies to support maintainability and knowledge sharing. * Support the scaling and optimisation of data storage solutions as flight data volumes increase. QUALIFICATIONS * Currently pursuing a degree in Computer Science, Information Systems, Data Science or a related technical field, with at least three completed semesters. * Strong Python programming skills for data processing and scripting. * Solid understanding of SQL and relational databases. * Familiarity with ETL/ELT concepts and data pipeline development through university projects, internships or personal projects. * Experience using Git or other version control systems. * Strong English communication skills, both written and spoken. * Availability to work full-time for a six-month internship or part-time (15–20 hours per week) as a working student. NICE TO HAVE * Experience working with time-series or sensor data. * Familiarity with workflow orchestration tools such as Apache Airflow or Prefect. * Basic knowledge of cloud platforms (AWS, Azure or GCP) or Docker. * Experience with data visualisation tools such as Grafana, Tableau or Streamlit.