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.boerse_footer { position: relative; margin-top: -50px; height: 30px; clear: both; margin-bottom: 20px; background: #EEE none repeat scroll 0% 0%; line-height: 30px; padding: 0px 10px; color: #AAA; font-family: "Arial, Helvetica, sans-serif" } .boerse_jobtemplate { width: 970px; max-width: 100%; height: auto; } .joqReqDescription { max-width: 100%; height: auto; align: center; } .jobDisplay .job { font-family: "Arial" !important; font-size: 14px !important; } div.joqReqDescription p, div.joqReqDescription ul, div.joqReqDescription ol, div.joqReqDescription div, div.joqReqDescription li { font-size: 14px !important; } .cust_group_company_header { font-family: custom3319b3cecfc94e7b90220; font-size: 18px; } Group Company: [[legalEntity_obj]] [[extTitle]] [[filter5]] | [[filter6]] Ready to make a real impact in the financial industry? At Deutsche Börse Group, we'll empower you to grow your career in a supportive and inclusive environment. With our unique business model, driven by 15,000 colleagues around the globe, we actively shape the future of financial markets. Join our One Global Team! We’re flexible! We’re happy to receive applications in English or German. This role as "Senior Software Engineer (f/m/d) - Databricks Data Engineering & Analytics" in our team "Data Development" is an opportunity to do more than contribute your technical expertise. You will take ownership of data engineering and play a key role in shaping the culture, standards, and practices of a growing team. As a catalyst for change, you will not simply fill an existing gap. You will raise the capabilities of the entire team and organization, creating an impact that is multiplicative rather than additive. You will work with Databricks from your first day, building on a modern, cloud-native platform instead of maintaining legacy systems. With dedicated teams responsible for infrastructure, platform engineering, and DevOps, you can concentrate on what you do best: advancing data engineering and mentoring your colleagues. The purpose behind this work is equally significant. ECC’s data is mission-critical for European energy markets, meaning your contribution will help ensure that homes stay warm and that Europe can successfully move towards a green future. Our tools: Primary tech stack: Google Cloud Platform (Databricks), Apache Spark, Python, SQL, Delta Lake Orchestration: Databricks Workflows Data patterns: Medallion architecture, lakehouse design Governance: Unity Catalog Your platform is managed centrally by Deutsche Börse – you focus on data engineering and eventually on empowering business users, not on infrastructure or DevOps. Your tasks: Design and build production-grade data pipelines on Databricks (Google Cloud) using Databricks Workflows, Spark SQL, and Python. Focus on creating solutions that are fast to implement, cheap to maintain, and highly reliable. Lead the adoption of Databricks best practices across the team: Delta Lake optimization, Photon query acceleration, cost governance, and performance tuning. Document and teach these practices so your teammates become independent. Architect scalable lakehouse solutions that support both analytics and operational workloads, applying modern design patterns (medallion architecture, data mesh principles). Mentor and upskill the team in Databricks: conduct code reviews, pair-programming sessions, and knowledge-sharing workshops. Your technical depth should elevate the entire group. After all, we value the exchange of ideas, being there for each other and encouraging each other to become better. We call it: the exchange mindset. Your skills: Databricks mastery: You have hands-on production experience with Databricks (1+ years), including: Building and optimizing ETL/ELT pipelines with Apache Spark (PySpark or Scala), Lakeflow Connect, Lakeflow Pipelines Delta Lake table design, optimization, and troubleshooting Databricks Workflows for orchestration Performance tuning Cost optimization and monitoring Backend data engineering: Several years of professional experience building data pipelines in distributed systems. Python and/or Scala proficiency is essential; SQL expertise is critical. Modern tooling: Familiarity with Git-based version control, CI/CD principles, and testing frameworks for data code. Cloud comfort: You have worked with Google Cloud Platform (or AWS/Azure) and understand cloud data warehouse/lakehouse architecture. Analytical thinking: You can break down complex data problems, propose multiple solutions, and evaluate trade-offs (speed vs. cost vs. reliability). Communication: You can explain technical concepts to non-technical stakeholders (business analysts, product owners) and translate their requirements into data engineering solutions. Fluent in Business English and German at an intermediate level minimum. Why join us: Attractive salary package with many advantages such as childcare, meal allowance, job ticket, sports and leisure events Flexible hybrid work concept and flexible working hours Personal development through extensive training opportunities A place in a dynamic and international team within EEX Group and Deutsche Börse Group A long-term perspective in the constantly growing and evolving energy industry Bespoke onboarding plan Deutsche Börse Group embraces an international climate, whereby diversity is universal. This is evident across the board, be it through our diverse workforce, routine responsibilities or other areas of activities and scope of application. We are looking for employees who enjoy working in a dynamic and flexible environment and are willing to put forward innovative ideas for the company. An open mindset, a proactive approach and self-motivation are prerequisites. We offer our employees an attractive remuneration package. Benefits include a high level of trust and autonomy in modern, centrally located workplaces where corporate culture and values are exercised regularly. We value diversity and therefore welcome all applications - regardless of gender, nationality, ethnic and social origin, religion/belief, disability, age, sexual orientation and identity. Have we piqued your interest? Then we encourage you to apply now! Do you have questions about the application process or this position? Please contact us at careers@deutsche-boerse.com or by phone 069-211-11810. We look forward to getting to know you! Deutsche Börse Group, Human Resources https://careers.deutsche-boerse.com/
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.