Senior Data & Analytics Engineer (Europe, 100% remote) | JobSetuu

Description

Job Overview

• Source: Arbeitnow
• Location: Berlin
• Job Type: Full-Time

Job Description

Join our fully remote, mission-driven team dedicated to pioneering sustainable inflight service management. Work on innovative technology solutions with global impact, collaborate within a diverse, international environment, and continuously enhance your skills through ongoing learning opportunities.

Headquartered in Zurich, Switzerland with team members across 11 countries, we offer a dynamic and engaging company culture that celebrates creativity, collaboration, and inclusion.

About the role

We are hiring a Senior Data & Analytics Engineer to take end-to-end ownership of our data platform and BI layer.

We are on a mission to contribute to a zero-waste future by drastically reducing food waste, fuel consumption, costs, and most importantly, CO₂ emissions in the airline industry. Every role in our company is a direct contributor to this vision - and as a Senior Data & Analytics Engineer you will be at the forefront of turning data into meaningful insights, empowering our customers to effectively use them and drive real impact.

You will evolve a vendor-built BI solution into a modern, product-grade data platform and ensure that data is transformed into scalable, trusted, and actionable insights for both our customers and internal teams. You’re not just building dashboards, you’re enabling better decisions and measurable impact.

This role combines:

• Data Engineering (pipelines, processing, customer facing exports, platform)

• Analytics Engineering (modeling, KPIs, semantic layer)

• Data Product Ownership (customer impact, insight generation)

What You’ll Own

Platform, Architecture & Pipelines

Own the end-to-end data platform (Databricks and Microsoft Fabric)

• Design and operate scalable pipelines and lakehouse architecture

• Build scalable ETL/ELT workflows and manage batch/near real-time processing

• Ensure data quality, reliability, observability, and performance

• Define standards, data contracts, and architecture principles (clean, modular, scalable data platform)

• Optimize cost (e.g. Databricks jobs) and workload distribution across platforms

Data Modeling & Semantic Layer

• Own Power BI semantic models and KPIs

• Build clean, scalable dimensional models (star schema)

• Ensure performance and consistency of DAX, aggregations, and dataset refresh

Customer-Facing Analytics

• Build and maintain customer-facing dashboards and embedded analytics

• Ensure consistent and trusted metrics across all outputs

• Enable self-service analytics with governance

• Maintain and monitor customer facing exports

Data as Product

• Translate business and customer needs into scalable data solutions

• Define KPIs and reporting standards with Product

• Proactively build insights and identify opportunities to create additional customer value

• Drive measurable customer and business impact

Platform Quality, Operations, Security & Governance

• Build necessary validation scripts, unit tests, data quality checks

• Implement CI/CD, testing, and versioning for pipelines and BI

• Support multi-tenant architecture, security, and governance

• Implement monitoring and alerting (pipelines, refreshes)

Migration & Insourcing (Initial Focus)

• Take ownership of a vendor-built BI solution

• Reverse-engineer pipelines, logic, and reports

• Reduce technical debt and rebuild toward a clean architecture

What We’re Looking For

Experience

• 5+ years in data engineering / analytics engineering for customer-facing BI products

• Experience in SaaS or product-driven environments

• Proven track record building scalable data platforms and customer-facing analytics

Technical & Platform Skills

• Strong experience with:

  • Databricks (Spark / PySpark, Delta Lake)

  • Microsoft Fabric or Azure data stack

  • Power BI (data modeling, DAX, performance)

• Advanced SQL and dimensional modeling (Kimball) expertise

• Lakehouse architecture & ETL/ELT design

• Multi-tenant data models & embedded analytics

Engineering Practices

• CI/CD for data pipelines and BI assets

• Write reusable, modular, maintainable and testable code.

• Monitoring and data quality practices

• Version control (e.g., Git)

Nice-to-have

• Azure infrastructure knowledge (IAM, networking)

• Data quality/testing frameworks (e.g., Great Expectations)

Mindset

• Strong ownership and autonomy: You take full ownership of outcomes, not just tasks

• Impact-driven: You focus on real-world results and have strong intuition for identifying patterns, anomalies, and optimization opportunities

• Product thinker: You connect data to user value and turn raw data into clear, actionable insights

• Proactive: You proactively identify opportunities, validate ideas, and build reports, dashboards, and analyses without waiting for requirements.

• Domain expert: You understand business contexts quickly and translate problems into effective data solutions.

• Pragmatic: You prioritize simplicity and avoid overengineering, focusing on what delivers value.

• Clear communicator: You communicate effectively across technical and business stakeholders, making complex topics easy to understand.

Language

Min. English C1

Expected travel needs

2 annual one-week team events

Our Tech Stack

• C# (.NET 8–10), ASP.NET Core, Entity Framework Core

• Microsoft SQL Server, Azure Blob Storage

• Azure App Services & Functions, Docker

• Azure Service Bus, Terraform

• GitHub Actions, SonarQube, extensive unit & integration tests

• Angular Latest Version

• Databricks and Azure Fabric

Hiring Process

1. Recruiter Screen (45 mins)

2. Interview with the Hiring Manager (1 hour)

3. Technical interview (1 hour)

4. Discussion with founder(s) and peer(s) (1 hour)

LimeFlight is proud to be an equal opportunity employer.

We are committed to creating an inclusive environment where everyone regardless of race, ethnicity, gender identity or expression, sexual orientation, age, disability, religion, or background can thrive and do their best work.

Join us and be part of a team committed to shaping a zero-waste future for aviation, where your ideas and passion truly matter.

Let’s talk!

Find more English Speaking Jobs in Germany on Arbeitnow

Expert Career Tips for Senior Data & Analytics Engineer (Europe, 100% remote) Roles

To succeed in a competitive market as a Senior Data & Analytics Engineer (Europe, 100% remote), you need more than just technical skills. Here are some expert strategies to elevate your profile:

• Build a Strong Portfolio: For technical roles, a clean GitHub or a personal project site is essential. For non-technical roles, a case study portfolio demonstrating problem-solving and impact is equally valuable. Show, don't just tell, what you have achieved in your previous positions.
• Master the Narrative: When interviewing, use the STAR method (Situation, Task, Action, Result) to structure your answers. Quantify your results wherever possible—mentioning "increased efficiency by 20%" is much more impactful than saying "improved efficiency."
• Continuous Learning: The industry moves fast. Whether it's staying updated with the latest AI tools or mastering a new management methodology, continuous professional development is key. Consider obtaining industry-recognized certifications that align with Senior Data & Analytics Engineer (Europe, 100% remote) requirements.
• Networking: Connect with other professionals in similar roles. Join online communities, attend webinars, and engage in meaningful discussions on professional social networks. Often, the best opportunities come through referrals and community engagement.
• Soft Skills Matter: Communication, empathy, and leadership are often the deciding factors between two equally qualified technical candidates. Cultivate these skills as they are universally valued across all industries and seniority levels.

Additionally, research the specific company's culture and values. Tailoring your application to show how you align with their mission can significantly increase your chances of moving forward in the process.

Salary & Compensation

Salary not disclosed; typically competitive for the role.

Work Arrangement

Type: On-Site

Standard business hours at the office.

Comprehensive Application Strategy & Hiring Process

Applying for a new role is a marathon, not a sprint. Follow this strategic approach to maximize your success rate:

1. Initial Research & Tailoring

Don't send the same resume to every employer. Spend at least 30 minutes researching the company. Look for recent news, their product roadmap, and their team structure. Modify your summary and core competencies to reflect the specific keywords found in the job description.

2. The Perfect Cover Letter

If the application allows for a cover letter, use it to tell a story that your resume cannot. Explain why you are passionate about this specific company and how your unique background makes you the perfect fit for the challenges they are currently facing.

3. Navigating the Multi-Stage Interview

Most modern hiring processes involve 3-5 stages. This typically includes a recruiter screen, a technical or skill-based assessment, a peer interview, and a final leadership round. Prepare for each stage differently: focus on enthusiasm and fit for the recruiter, technical depth for the assessment, and strategic vision for the leadership round.

4. Post-Interview Follow-Up

Always send a personalized thank-you note within 24 hours of each interview. Reference a specific topic discussed during the call to demonstrate your active listening and genuine interest in the role.

By following these steps, you demonstrate a high level of professionalism and attention to detail that sets you apart from the average applicant.

Typical Interview Process

1. Resume screening
2. HR call
3. Skill interview
4. Final manager interview
5. Offer

Tip: Research the company's products and culture.

Global Market Intelligence & Relocation Insights

At JobSetuu, we specialize in helping talent navigate the global job market. Here is what you need to know about the current landscape in Berlin and beyond:

The demand for skilled professionals is increasingly borderless. For roles based in Berlin, understanding the local cost of living, visa requirements (if applicable), and cultural nuances is vital. If this is a remote role, consider the time zone alignment and the asynchronous communication culture of the hiring organization.

Relocation Support: Many forward-thinking companies offer relocation packages that include moving stipends, temporary housing, and legal assistance with work permits. When evaluating an offer, look beyond the base salary—consider the total compensation package, including equity, bonuses, and healthcare benefits.

Work-Life Balance Trends: Hybrid and remote work have become standard in many regions. Research the local labor laws and common practices regarding work hours and vacation time to ensure the role aligns with your lifestyle goals.

Leveraging JobSetuu's tools can help you compare salaries across different cities and understand the "purchasing power" of your potential offer, ensuring you make an informed decision for your long-term career path.

Skills & Competency Roadmap for Professional Development

To remain competitive in Professional Development, we recommend focusing on the following core competencies over the next 12-18 months:

• Technical Mastery: Deepen your expertise in the core tools and languages relevant to your field. For developers, this might be cloud architecture; for marketers, it might be data-driven attribution modeling.
• AI Augmentation: Learn how to leverage generative AI and automation tools to increase your productivity. Understanding how to integrate these technologies into your workflow is becoming a non-negotiable skill.
• Leadership & Strategy: Even in individual contributor roles, the ability to think strategically and lead projects from inception to completion is highly valued. Focus on stakeholder management and high-level project planning.
• Data Literacy: The ability to interpret data and use it to drive decisions is essential across all business functions. Familiarize yourself with data visualization and basic analytical concepts.

By investing in these areas, you not only prepare yourself for the role you are applying for today but also build a resilient foundation for the opportunities of tomorrow.

Apply via JobSetuu

Discover your next career milestone on JobSetuu. This Senior Data & Analytics Engineer (Europe, 100% remote) position is part of our commitment to bringing you the most relevant and high-impact job openings globally. At JobSetuu, we simplify your job search by aggregating premier listings and providing the tools you need to stand out. Don't miss the chance to elevate your professional journey—explore more opportunities and career insights on our platform today.