Data Engineer

Awin

Purpose of position Data sits at the heart of the company. This role ensures that Awin can fully leverage the data available across the group, enabling the development of robust reporting capabilities that support stronger commercial decision making and elevate campaign management for client facing teams. As an AI/ML Engineer, you will be responsible for researching, designing, building, and automating predictive models, as well as establishing metrics to monitor model performance and accuracy. You bring strong communication and analytical skills, work effectively both independently and within a team, and contribute proactively to improving engineering standards and working practices. You possess a deep understanding of data and business requirements and can translate these into clear technical specifications. You write clean, maintainable, and high quality code, and you are capable of implementing a wide range of data extraction, transformation, and storage methodologies. Your expertise enables you to develop new predictive models while also enhancing and optimizing existing ones. In this role, you will break down complex requirements into structured, actionable tasks. As part of the Data Services department, you will collaborate with a global team of data engineers, data analysts, and other big data specialists across the organisation.   Key Tasks & responsibilities * Write clean, elegant and maintainable code with Data engineering and AI/ML best practices * Understanding business objectives and developing models that help to achieve them, along with the creation and monitoring of business relevant metrics * Find new ways solve complex business problems with self improving automated predictive models. * Evaluate existing models and recommend improvements for better result and performance efficiency * Develop best practices for building and orchestrating predictive models. * Be responsible for quality, accuracy and interpretation of the result sets.   Education & experience * Bachelor’s degree or higher in Data Science, Data Engineering or a related field, preferably with a strong focus on mathematics, statistics, or data engineering. * 2+ years experience as data engineer on AI/ML project with Python * Strong experience using Databricks, including Jobs, Asset Bundles, Delta Lake, and MLflow, as well as Azure data engineering tools such as Azure Data Factory and Azure Data Lake Storage (ADLS). * Solid understanding of Scrum practices and a strong Agile mindset. * Advanced proficiency in Python and its key data and ML libraries (NumPy, PySpark, Scikit learn, TensorFlow/PyTorch) * Working knowledge of generative AI models (e.g., ChatGPT, Claude), Databricks GenAI tooling (including embedding models), and modern data structures such as vector databases. * Strong expertise in designing end to end ETL solutions using Databricks, including identifying, extracting, and curating datasets for machine learning model development. * Strong knowledge of cloud platforms (Azure and AWS) and relevant services. * Hands on experience with big data technologies, including Databricks and Spark.   Skills & Core competences * Very strong analytical skills to translate business need into actions with proactive approach to task and challenges, delivering project on time and budget * Very strong understanding of the principles of machine learning * Create mind-set to bring new ideas and push the machine learning project to next level * Willing to change, learn and start initiatives * Ability to face existing challenges self-reliant with the courage to take autonomous decisions if needed * Very strong communication and interaction skills * Very strong project and process management competency, keen to deliver your project on time/budget without compromising on quality and results * Team player, willing to improve yourself   Our Offer * Flexi-Week and Work-Life Balance: We prioritise your mental health and wellbeing, offering you a flexible four-day Flexi-Week at full pay and with no reduction to your annual holiday allowance. We also offer a variety of different paid special leaves. * Remote Working Allowance: You will receive a monthly allowance to cover part of your running costs. In addition, we will support you in setting up your remote workspace appropriately. * Flexi-Office: We offer an international culture and flexibility through our Flexi-Office and hybrid/remote work possibilities to work across Awin regions * Meal Vouchers: You will be supported with a certain net sum to spend it on a variety of lunches. * Health & Wellbeing: The insurance covers several types of health, vision and / or dental treatments for you and for up to one additional family member. * Remote Working Furniture Package: After 3 months of employment, you will be eligible for a furniture package, which should enable you to set up a proper workplace at your remote working location * Appreciation: Thank and reward colleagues by sending them a voucher through our peer-to-peer program. Established in 2000, Awin is proud of our dynamic, social and inclusive culture. Like all businesses, we’ve had to adapt and nurture our culture in a virtual environment. Our virtual ‘Life @ Awin’ hub brings our colleagues from across the globe together for various social activities. Diversity & Inclusion are paramount to us, and we proudly pursue and hire diverse team members. We champion uniqueness and authenticity; this is who we are at our core. Our network of affiliate partnerships are diverse and transparent, as are the employees powering our vision to build the world’s leading open partner ecosystem. We welcome all backgrounds, identities, and experiences. If you need support at any point in the application or interview process, please let us know. Awin is part of the Axel Springer group. Learn more at axelspringer.com/en/, and explore the Axel Springer Essentials here: axelspringer.com/en/inside/the-essentials-what-we-have-adapted-and-why   Apply now to begin the next stage of your career at a progressive company that supports both your professional and personal development. #LI-RS1

GROPYUS

About The Company GROPYUS is a technology-based construction company focused on building multi-story residential buildings. Thanks to its prefabricated building system with various design options, industrial offsite construction, and fully digitalized processes, the company manufactures aspirational, sustainable, and affordable homes using timber construction methods. GROPYUS is using scalable construction and manufacturing solutions to tap into a future market, boost Europe's strength in innovation, while also playing a substantial role in improving sustainability. ABOUT THE ROLE: We are growing our Data Language Team within the Gropyus Tech department. The Language team is responsible for the semantic layer of our Gropyus Data Fabric as well as data modeling and transformation for our self-service analytics.  Our team interacts with experts from various domains such as Digital Building Planning and Automation, Product Operations, Sustainability, AI, IoT, construction engineers, building architects, logistics experts, software engineering; solving complex challenges pertaining to end-to-end process for planning, building, and operating a building.   AS PART OF THE DATA LANGUAGE ORGANIZATION, YOU WILL:  * Design data models to formalize concepts from various architecture and construction domains.   * Contribute to the logic to transform and enrich our centralized data for self-service analytics  * Support Data Science use cases including Machine Learning and AI  * Collaborate with domain experts and software engineers to understand data needs and deliver high-quality datasets.  * Implement and uphold data quality, governance, and security standards, including monitoring, testing, and documentation.  * Adhere to best practices and rigor in development including documentation, data governance, testing, and validation  ABOUT YOU: * Experience working with a tech stack similar to:  * Programming languages like Python or Kotlin  * Query Languages like: SPARQL, SQL  * Data Reporting like: PowerBI, Tableau, Quick Sight  * Databases like Postgres, BigQuery, Spark, Graph DB  * Cloud Storage Platforms   * Ability to complete work as directed with guidance from senior engineers or leadership  * Experience resolving issues related to data discrepancies and inconsistencies and creating validation and testing for prevention and handling  * You have data modeling experience through semantic or Business Intelligence development   * You have experience following best practice guidelines in data and software engineering  Optional Experience:  * Some knowledge about semantic layer or ontologies  * Experience with graph technologies and triples  * * Data Science, Machine Learning and AI agents   WHAT WE OFFER: * Be part of something big: You’re here to make a change? Come on board. At GROPYUS, we are on a mission to re-think an entire industry. Join us in reinventing construction and sustainable, affordable living.  * It’s on you: We offer a tremendous amount of ownership and room to make a mark - at all our organization levels. Find your solutions, drive and test them. * Focus on results: You choose if you work from home, a park, or the office. Whether you start your day early, after your run, or pick up on work when your kids are in bed. What counts is your contribution and delivery. * Bring your uniqueness to the team: Innovation requires diversity of thought. Diversity in background, experience and thinking is crucial to create the best product for everyone. We actively seek diversity and strive to unlock each other’s full potential. We are very proud that people from all industries and all walks of life are joining our company – in addition to core areas such as construction, engineering, and start-ups, from stock-listed companies from across automotive e-Commerce, digital, sporting goods, and more. You will work in international teams with passionate colleagues. Inspire and be inspired. * Be an owner: Participate in the success of GROPYUS through stock options. JOIN US ON OUR MISSION TO DESIGN BUILDINGS AS CONTINUOUSLY EVOLVING PRODUCTS TO CREATE THE MOST EXCITING AND AFFORDABLE EXPERIENCE FOR ALL. WE BUILD FOR PEOPLE AND CONSERVE THE RESOURCES OF OUR PLANET. WE CAN'T WAIT TO GET TO KNOW YOU.  FOR MORE INFORMATION, VISIT OUR WEBSITE, AND IF YOU HAVE ANY QUESTIONS, PLEASE REACH OUT TO US VIA EMAIL.

Blacklane

THE MISSION: PLATFORM AS A PRODUCT Your mission is to bridge the gap between "infrastructure" and "developer success". You will transform our platform from a set of tools and processes into a cohesive internal product. You will lead a team of engineers through a period of growth and establish a "paved road" that allows our product teams to ship with zero friction.   THE IMPACT: DRIVING HIGH-VELOCITY DELIVERY You aren't inheriting a fixed roadmap or team, you are shaping it! Working together with our Staff Engineer, you will define what good looks like and how to become a high performing team. You will oversee delivery timelines, scope and are not afraid of making highly impactful decisions. You don’t care about the ticket throughput, you care about work done. * Ambiguity: You are not afraid of working with ambiguous requirements and turning them into concrete deliverables. You are comfortable making trade-off decisions and understand that “perfect is the enemy of done”.  * Team Evolution: You act as a coach and a talent magnet. You will be responsible for the growth, performance, and structure of the Platform unit, ensuring we have a vocal, collaborative, and high-performing culture through continuous learning. * Raise the Bar: You drive Platform excellence, may it be developer experience, infrastructure or SRE. Communication: You communicate regularly with the other Engineering Managers, manage their expectations and hold them accountable for delivery dependencies. THE PROFILE: THE PRACTICAL STRATEGIST We are looking for a leader who builds high-performing teams. Whether your background is in Platform, Backend, or Data Engineering, you are someone who thrives on solving "the hard stuff", is motivated to educate themself and never leaves a job 80% finished. This is your chance to shape a Platform Domain from the ground up.  * High Agency: You don't wait for permission to fix a glaring problem. You build the business case, get the buy-in, and get it done.  * Execution-Focused: You have a track record of taking complex initiatives across the finish line. You understand that "80% done" is often where the most critical technical debt lives, and you have the discipline to drive projects to true 100% completion. * Strong opinions, weakly held: You have strong opinions on how things should be done, but you are Okay to disagree and commit in order to move forward.    ABOUT BLACKLANE Our mission is simple but powerful: to become the world’s leading premium, global chauffeur service. Operating in 50+ countries, we reimagine chauffeur-driven rides by prioritizing reliability, innovation, and first-class service at every step. Blacklane is also at the forefront of sustainable mobility efforts, continuously working to reduce our operational impact on the planet. OUR COMPANY CULTURE & VALUES  Blacklane has grown from a two-person startup in Berlin to a global team of over 300 people representing 54+ nationalities. Our culture is powered by our commitment to three core values: Care, Drive and Excellence.   * Care - We are invested in each other's well-being and professional growth.  * Drive - We act with pace and determination. We are ambitious, committed to a growth mindset, and champion ownership and delivery. * Excellence - We understand our customers so we can exceed expectations.  We support our people through initiatives like Employee Resource Groups (ERGs), mentorship programs that bring our values to life. We welcome—and actively support—employees to create or join the communities that are important to them. WHY JOIN US IN A BLACKLANE ON THE FAST LANE? 🚉 Monthly BVG / Deutschlandticket subsidy to support your commute 🏦 Private pension plan with 20% employer contribution up to a monthly cap 🍲 Subsidised healthy meals via BellaBona.  🌴 28 vacation days per year, increasing with tenure 💪 Your Mental and Physical Health → No compromise with Nilo and Wellhub 🏢 Hybrid setup: 3 days a week in our Berlin HQ, right in the heart of Schöneberg 🎓 Continuous learning through LinkedIn learning and L&D budget 🚀 Fair pay and benefits tailored to local markets 🏆 Long-term incentive scheme 🚘 Mystery Rides: Quarterly Voucher to enjoy personal trips around the world with Blacklane and experience our service from a guest’s perspective.   At Blacklane, we believe transparency builds trust. Selected candidates will receive salary information for this role before the interview stage, as part of our commitment to fair rewards and a clear, respectful candidate experience. Do you have any questions or want to know more about our way of working? Feel free to contact us. We’re happy to connect! We place great value on equal opportunities. Therefore, we welcome everyone to apply!   Blacklane will never ask you to pay money towards any job application. Do not make payment to anyone pretending to be from Blacklane during your recruitment process. If you suspect any scam-relevant activity, please talk to us as soon as possible. We're here to take care of you throughout the recruitment process.