Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Data Architect

Essen
3 weeks ago
Create job alert

Senior Data Architect - Essen - Germany
Hybrid 2x per month on-site - Relocation package available

Are you a data expert ready to shape the future of enterprise-scale platforms? Electus is proud to partner with a cutting-edge AI/ML analytics company to hire a Senior Data Engineer/Architect who will play a pivotal role in transforming their data architecture and engineering capabilities.

What We’re Looking For

Proven experience designing and building complex big data solutions in enterprise environments.
Python
Deep SQL expertise - query performance analysis and relational databases
Hands-on experience with AWS
Kubernetes/Docker or similar
Streaming Frameworks like Flink/Spark
Lakehouse Formats and Query engines including Trino or Starrocks
Familiarity with open table formats such as Iceberg/hudi/Delta Lake
Solid understanding of Agile & Scrum methodologies and software engineering principles.
Excellent communication and problem-solving skills.
Why This Role Stands Out

Shape the future of a modern data platform from the ground up.
Stable business - an 8 year old scale-up with a carefully built team
Autonomy & trust – bring your ideas and lead with impact.
Flat hierarchy – collaborate directly with decision-makers.
Work with the latest tech – AWS, Kubernetes, Docker, Spark, and more.
What You’ll Be Doing

Collaborate with stakeholders, data scientists, and engineers to design scalable, high-performance data solutions.
Build and maintain robust data pipelines and ETL processes.
Design and evolve data models for efficient storage and retrieval.
Lead the implementation of Big Data applications and analytical tools.
Champion data governance, security, and quality standards.
Mentor junior engineers and foster a culture of technical excellence.
What Success Looks Like in Year One

You’ll have solved key data architecture pain points in collaboration with the data team.
Delivered scalable, maintainable solutions that support business growth.
Introduced best practices and new technologies that elevate the platform’s performance.
Qualifications

Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
Who Thrives Here

You’re a strong communicator and collaborator who enjoys mentoring and sharing knowledge.
You care deeply about data quality, security, and performance.
You’re always learning and love applying new technologies.
Ready to Apply? If you're ready to take the lead in shaping a next-gen data platform, we’d love to hear from you.

Apply now or reach out to Electus for a confidential conversation

Related Jobs

View all jobs

Senior Data Architect

Senior Data Architect

Senior Data Architect

Senior Data Architect

Senior Data Architect

Senior Data Architect

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.

The Best Free Tools & Platforms to Practise Data Science Skills in 2025/26

Data science continues to be one of the most exciting, high-growth career paths in the UK and worldwide. From predicting customer behaviour to detecting fraud and driving healthcare innovations, data scientists are at the forefront of digital transformation. But breaking into the field isn’t just about having a degree. Employers are looking for candidates who can demonstrate practical data science skills — analysing datasets, building machine learning models, and presenting insights that solve real business problems. The best part? You don’t need to spend thousands on premium courses or expensive software. There are dozens of high-quality, free tools and platforms that allow you to practise data science in 2025. This guide explores the best ones to help you learn, experiment, and build portfolio-ready projects.