Dataframe SDK Engineer

Valtech

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience.  THE OPPORTUNITY At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.  We are proud of:  * The work we do and the innovation we drive  * Our values of share, care and dare  * A workplace culture that fosters creativity, diversity and autonomy  * Our borderless, global framework, which enables seamless collaboration    THE ROLE   As a Cloud Engineer, you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring 6+ YEARS of experience, a growth mindset and a drive to make a lasting impact.  You will thrive in this role if you are:  * A curious problem solver who challenges the status quo  * A collaborator who values teamwork and knowledge-sharing  * Excited by the intersection of technology, creativity and data  * Experienced in Agile methodologies and consulting (a plus)    ROLE RESPONSIBILITIES * Design GCP-native architectures using services such as BigQuery, Dataflow (Apache Beam), Cloud Composer (Airflow), Pub/Sub, Cloud Storage, Vertex AI, and Cloud Run * Build and maintain data pipelines — batch and streaming — following medallion architecture patterns (Bronze / Silver / Gold) * Implement infrastructure as code using Terraform and manage deployments via Cloud Build or equivalent CI/CD tooling * Define and apply GCP landing zone standards including IAM, VPC, Shared VPC, Private Service Connect, and Org policies * Develop end-to-end Lakehouse solutions on Databricks — including Delta Lake table design, Unity Catalog governance, and MLflow model tracking * Write and optimise PySpark and SQL workloads for large-scale transformations and feature engineering * Configure Databricks clusters, job scheduling, auto-scaling, and cost controls in a GCP (DBX on GCP) environment * Implement Databricks Workflows and Asset Bundles for orchestration and deployment automation * Advise clients on Databricks platform adoption, including migration pathways from legacy Hadoop or on-premise data warehouses * Lead technical workshops and requirements-gathering sessions with client technical and business teams * Produce high-quality client-facing deliverables: architecture diagrams, technical specifications, migration runbooks, and data dictionaries * Present solution designs and progress updates to client stakeholders — adapting technical communication to audience level (CTO to Business Analyst) * Manage technical dependencies, risks, and issues across delivery workstreams — escalating to Delivery Managers as appropriate * Participate in sprint ceremonies and maintain delivery velocity within Agile/Scrum or Kanban frameworks * Implement data quality frameworks using tools such as Great Expectations, dbt tests, or Databricks Delta constraints * Support data catalogue initiatives and metadata management using Dataplex or Unity Catalog * Ensure GDPR/data residency compliance is embedded into solution design from the outset * Support practice leads in responding to RFPs and RFIs — contributing to effort estimation, solution sizing, and proposal narrative * Contribute to internal knowledge-sharing — through documentation, runbooks, and team enablement sessions * Stay current with GCP and Databricks product roadmaps and proactively identify opportunities to introduce new capabilities to clients   MUST HAVE QUALIFICATIONS * Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience * 6+ years of hands-on professional experience in cloud data engineering or GCP platform roles. * Google Cloud Professional Data Engineer or Professional Cloud Architect certification * Databricks Certified Associate Developer for Apache Spark or Databricks Certified Data Engineer certification * BigQuery — advanced SQL, partitioning, clustering, cost optimization * Cloud Storage, Cloud Functions, Cloud Run * Dataflow (Apache Beam) — batch & streaming pipelines * Cloud Composer / Airflow — DAG authoring and management * Pub/Sub — event-driven architectures * Vertex AI — model serving and Pipelines exposure * IAM, VPC, Org Policies — security and governance * Cloud Build / Artifact Registry — CI/CD and containerization * Terraform — infrastructure as code on GCP * Looker / Looker Studio — reporting layer familiarity * PySpark — DataFrame API, optimization, broadcast joins * Delta Lake — ACID transactions, time travel, Z-ordering * Unity Catalog — governance, lineage, access control * Databricks Workflows / Job orchestration * Databricks on GCP — cluster config, instance pools * MLflow — experiment tracking, model registry * dbt on Databricks or BigQuery * Databricks Asset Bundles / CI/CD integration * Python — data engineering and scripting proficiency * SQL — advanced analytical queries * Git / version control — branching, PR workflows * Docker — containerization basics * Unit testing and data pipeline testing practices * REST API integration patterns NICE TO HAVE QUALIFICATIONS   * Experience with Azure or AWS alongside GCP — hybrid cloud delivery experience * Familiarity with commercetools, Contentful, or other composable commerce/content platforms * Exposure to Salesforce Marketing Cloud data connectors or CDPs * Knowledge of Generative AI / LLM integration patterns — Vertex AI GenAI Studio, Gemini APIs * Experience with Databricks Agent Framework or LangChain for agentic AI workloads * Apache Kafka or Confluent Cloud for event streaming architectures * Google Cloud Professional Machine Learning Engineer * HashiCorp Terraform Associate. * Experience in luxury, retail, or FMCG verticals — understanding of product data models and PIM systems If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn.    COMMITMENT TO REACHING ALL KINDS OF PEOPLE  We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all.    THE BENEFITS   This is a Full Time position based in Bengaluru Beyond a competitive compensation package, we offer:  * Flexibility, with remote and hybrid work options (country-dependent)  * Career advancement, with international mobility and professional development programs  * Learning and development, with access to cutting-edge tools, training and industry experts  Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process.     YOUR APPLICATION PROCESS Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential. ⚠️ Beware of recruitment fraud! Only engage with official Valtech email addresses ending in @valtech.com.  We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.     ABOUT VALTECH Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.  At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.  At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.  Are you ready to create what’s next? Join us.

Isar Aerospace

Mission Brief  Your main objective will be to work hands-on with our Data Platform, which consolidates all structured and unstructured test, flight, and process data from across the company. Your work will empower data-driven decisions in various departments and enable us to generate valuable insights from cross-departmental data.  More specifically, you will:  * Build modern, scalable, and high-performance solutions for our engineering data platform. * Develop and deploy efficient ETL/ELT processes to ingest, transform, and load a large amount of data from diverse sources. * Contribute to data modeling and architecture decisions to ensure consistency, availability, low latency, and long-term maintainability of the data landscape. * Ensure data quality through validation processes and adherence to data governance policies. * Provide observability for the Data Platform processes, enabling a quick reaction to any disruptions. * Author technical and user documentation. * Guide less experienced engineers by sharing your knowledge and expertise.    Who you are and what you have  * Highly proficient with batch and streaming data processing * Hands-on experience with OLAP, DeltaLake and Iceberg storage frameworks * Excellent SQL proficiency for data querying, transformation, and analysis * Understanding of time series data and signal processing (e.g., sampling rates, decimation, frequency domains, and data integrity) * Solid understanding of data architectures (lakehouse, warehouse, data streaming, medallion pattern) * Practical experience with Apache Spark, PySpark, Python and DataFrame handling * Experience with Data Platforms (e.g., Microsoft Fabric, Azure Data Factory, Databricks, or Snowflake)  Nice to Have (Optional):  * Experience with Python query engines (e.g. polars, duckdb) * Experience with Kafka and Kafka related technologies (e.g. Apache Flink) * Understanding of infrastructure, cloud services and network  Benefits  * Employee Participation Program: Share in our success through our virtual company share program * 30 days of vacation: Enjoy the days off to relax and recharge * Company pension plan: Secure your future with our company pension plan, featuring a 20% employer contribution after the probation period * Subsidised lunch: Stay energised with delicious, subsidised lunches every day * Public transport ticket: Commute with ease using a fully financed Deutschlandticket * Sport Clubs membership: Stay fit with our sponsored sports club memberships (EGYM Wellpass) * Individual learning allowance: Grow your skills with an individual learning budget granted after the probation period * Childcare allowance: Receive a childcare allowance for your non-school-age children * And Much More! Discover additional perks and benefits when you join our team         Who we are We are Isar Aerospace and we are at the forefront of New Space building a modern space business to enable faster, better and cheaper access to space. Our mission is to help democratise space and use it for good in order to improve life on Earth now and for the future generations. We are a fast-growing company aiming to provide sustainable and environmentally friendly launch solutions for small and medium-sized satellites and constellations into Low Earth Orbit. The company is privately funded by world-leading technology investors with strong commitment and support and our team is made of driven and talented people with a real passion for space innovation. We're making rockets in a way that hasn't been done before disrupting a traditional industry. If you are up for the challenge, want to work on cutting-edge projects and be part of a team changing the world for better, come, join us and launch your career! Want to find out more about us? Visit www.isaraerospace.com   Data Protection We process your personal data for the purpose of managing the recruitment process and assessing your application. For detailed information on how your data is processed, including your rights, please refer to our Privacy Policy.   Disclaimer Isar Aerospace SE is an equal-opportunity employer committed to fairness and inclusivity. We do not prioritize any specific religion, gender, nationality, or background. Due to security clearance requirements, affiliations with countries listed under § 13 para. 1 no. 17 SÜG may affect the application process. All qualified applicants are encouraged to apply.

KONUX

About Us: KONUX is a dynamic and fast-growing technology company that is transforming the way the railway industry works. Our AI-powered solutions empower our customers to make smarter, data-driven decisions, and our culture is fueled by grit, ingenuity, and credibility - we believe that these values are essential to unlocking the potential of technology and making a real impact. At KONUX, we are passionate about driving innovation in the fields of IoT and AI, and we are looking for like-minded individuals to join our team. Job Description:  We are seeking a Senior Data Scientist (f/m/x) to join our team of innovators. In this role, you will be at the forefront of developing groundbreaking solutions that solve real-world problems. You will work alongside a team of experts who are committed to pushing the boundaries of what's possible and driving innovation forward. If you're a go-getter who's not afraid to think outside the box, we want to hear from you. You'll be a key driver of our culture, helping to ensure that our values are embedded in everything we do.   Your Impact: * Develop insights using a wide range of data sources, including IIoT sensor data and other railway domain datasets * Design and implement solutions - from understanding customer challenges to releasing models to production * Deploy well-tested, maintainable solutions into live systems * Develop tools and infrastructure for sensor data analysis that integrate smoothly into our end-to-end software engineering lifecycle * Collaborate closely with engineers, product managers, and domain experts to translate business needs into technical impact\ * Drive innovation and help you and your colleagues improve and grow To be successful in this role, you’ll need to have: * A degree in Mathematics, Statistics, Computer Science, Engineering, or a related field with 5+ years of hands-on experience in data science, having built and tested statistical or ML models * Fluency in Python and ideally experience with an additional programming language * Past experience working with dataframe-centric data manipulation tools such as pandas, PySpark, Polars and SQL * Past experience owning complex data science problems independently, having developed models for production systems, beyond pure academic or research settings * Familiarity with version control (Git) and common software engineering best-practices * A proactive, impact-driven attitude and the ability to thrive in a fast-paced, collaborative environment   It’s a plus (but not a requirement) if you have: EXPERIENCE APPLYING DIGITAL SIGNAL PROCESSING (DSP) TECHNIQUES TO EXTRACT FEATURES AND INSIGHTS, FOR EXAMPLE FROM SENSOR OR TIME-SERIES DATA * Understanding of model monitoring techniques, software testing, and CI/CD workflows * Worked with and trained models using diverse types of data (e.g. time-series, tabular, event logs, images, sensor data etc.) * Experience with state-space and survival modeling, and familiarity with statistical packages such as statsmodels, PyMC, or Stan * Experience with AWS and Databricks   Why Join Us: 💸 Competitive salary (85.000 - 100.000 EUR p.a. depending on seniority/exoerience) 📉 Equity (all permanent KONUX employees have equity!) 📖 Dedicated Learning & Development budget of 3.600€ p.a. 🏠 Comprehensive relocation support if this opportunity at KONUX requires you to move 👨‍💻 Hybrid working model: Meet your colleagues in the office minimum 2 days per week 🏢 Modern workspace with a cool rooftop with a mountain view 💻 Flexible working conditions, home office equipment and free choice between a Windows or Apple laptop ❤️‍🩹 Health benefits supporting your physical and mental well-being, e.g wellpass/gym membership and mental health app license 🍒Fruits, snacks and beverages for energy and our very own Oma cooking in the office every Thursday 👴 Company pension scheme 🙌 Access to Corporate Benefits and Future Bens 🌴 27 vacation days (+1 day on every work anniversary for 3 years) 💁 Volunteering activities (2 additional days off) 🍻 Company and team events  🐶 We are a pet-friendly company, so your four-legged friend can join you in the office!