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- Tasks: Design and maintain ETL pipelines, working with large datasets using Python or Java.
- Company: Lumenalta helps global enterprises launch impactful digital products for millions of users.
- Benefits: Enjoy 100% remote work and a collaborative, agile environment.
- Why this job: Join a team making real-world impacts with data while enhancing your skills in a dynamic setting.
- Qualifications: 7+ years as a Data Engineer, strong Python/Java skills, and SQL proficiency required.
- Other info: Experience with cloud storage and data governance is a plus.
The predicted salary is between 43200 - 72000 £ per year.
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Join to apply for the Data Engineer – Senior role at Lumenalta
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We help global enterprises launch digital products that reach millions of users. Our projects involve massive datasets, complex pipelines, and real-world impact across industries.
What You’ll Do
- Join the team as a Senior-Level Data Engineer
- Design, build, and maintain reliable ETL pipelines from the ground up
- Work with large, complex datasets using Python or Java and raw SQL
- Build scalable, efficient data flows and transformations
- Collaborate with data analysts, product managers, and developers to deliver actionable data to stakeholders
- Ensure data quality, consistency, and performance across systems
What We’re Looking For
- 7+ years of experience as a Data Engineer
- Strong skills in Python or Java for data processing
- Proficient in SQL, especially for querying large datasets
- Experience with batch and/or stream data processing pipelines
- Familiarity with cloud-based storage and compute (e.g., AWS S3, EC2, Lambda, GCP Cloud Storage, etc.)
- Knowledge of data modeling, normalization, and performance optimization
- Comfortable working in agile, collaborative, and fully remote environments
- Fluent in English (spoken and written)
Nice to Have (Not Required)
- Experience with Airflow, Kafka, or similar orchestration/message tools
- Exposure to basic data governance or privacy standards
- Unit testing and CI/CD pipelines for data workflows
This job is 100% Remote – please ensure you have a comfortable home office setup in your preferred work location.
Seniority level
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Seniority level
Mid-Senior level
Employment type
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Employment type
Contract
Job function
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Job function
Engineering and Information Technology
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Industries
IT Services and IT Consulting
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Data Engineer - Senior employer: Lumenalta
Contact Detail:
Lumenalta Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Senior
✨Tip Number 1
Make sure to showcase your experience with ETL pipelines during any discussions. Be prepared to discuss specific projects where you've designed and maintained these pipelines, as this is a key responsibility for the role.
✨Tip Number 2
Familiarise yourself with the cloud technologies mentioned in the job description, such as AWS and GCP. Having practical examples of how you've used these platforms can set you apart from other candidates.
✨Tip Number 3
Network with current or former employees of Lumenalta on platforms like LinkedIn. Engaging with them can provide insights into the company culture and expectations, which can be invaluable during interviews.
✨Tip Number 4
Brush up on your knowledge of data governance and privacy standards, even if they are not required. Being able to discuss these topics can demonstrate your comprehensive understanding of the data landscape.
We think you need these skills to ace Data Engineer - Senior
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience as a Data Engineer, particularly focusing on your skills in Python or Java, SQL proficiency, and any relevant cloud-based storage experience. Use keywords from the job description to align your application with what Lumenalta is looking for.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss specific projects where you've designed and maintained ETL pipelines or worked with large datasets. This is your chance to showcase how your experience aligns with their needs.
Showcase Relevant Projects: If you have worked on significant projects involving data processing, be sure to include these in your application. Highlight your role, the technologies used, and the impact of your work. This will demonstrate your hands-on experience and problem-solving skills.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects attention to detail, which is crucial in data engineering roles.
How to prepare for a job interview at Lumenalta
✨Showcase Your Technical Skills
Make sure to highlight your experience with Python or Java, as well as your proficiency in SQL. Be prepared to discuss specific projects where you've built ETL pipelines or worked with large datasets, as this will demonstrate your hands-on expertise.
✨Understand the Company’s Projects
Research Lumenalta and their focus on digital products and massive datasets. Familiarise yourself with their industry impact and be ready to discuss how your skills can contribute to their ongoing projects and goals.
✨Prepare for Collaboration Questions
Since the role involves working closely with data analysts, product managers, and developers, think of examples that showcase your collaborative skills. Be ready to explain how you’ve successfully worked in agile environments and contributed to team success.
✨Discuss Data Quality and Performance
Be prepared to talk about your approach to ensuring data quality, consistency, and performance. Share any experiences you have with data modelling, normalisation, and performance optimisation, as these are key aspects of the role.
