Jobgether
Senior Data Engineer
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Job Title: Senior Data Engineer
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Engineer based in the United Kingdom.
The role focuses on designing and evolving scalable, cloud-native data platforms that support critical analytics, reporting, and product capabilities.
You will take ownership of complex data engineering solutions across ingestion, transformation, and data serving layers.
Working within a distributed international team, you will collaborate closely with backend engineers and technical stakeholders.
The position offers the opportunity to shape architecture decisions, improve data reliability, and build high-performing systems.
You will work extensively with AWS technologies, distributed processing, and modern engineering practices.
This is a high-impact opportunity for an experienced engineer who enjoys solving complex data challenges in a remote environment.
Accountabilities
The Senior Data Engineer will be responsible for building and maintaining reliable, scalable data solutions while contributing to technical strategy and platform evolution.
- Design, develop, and own batch-oriented data pipelines and ETL workflows using AWS Glue, AWS Lambda, AWS Step Functions, and Amazon S3.
- Build and optimize ingestion pipelines using AWS-native services, including AppFlow, DMS, and selected event-streaming solutions.
- Develop and maintain analytical data models and query layers using technologies such as Amazon Athena, Amazon Redshift, and ClickHouse.
- Design integrations between data workflows and backend microservices running on Amazon ECS.
- Collaborate with software engineers to develop backend services and APIs that expose data capabilities.
- Contribute to event-driven architectures using services such as EventBridge to coordinate workflows and system interactions.
- Ensure data quality, lineage, observability, monitoring, and alerting across data systems.
- Improve performance and scalability across data processing jobs, analytical queries, and storage solutions.
- Implement engineering best practices around Infrastructure as Code, CI/CD, security, governance, and sensitive data handling.
- Mentor other engineers and contribute to architectural decisions and long-term technical direction.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Requirements
The ideal candidate brings extensive experience in data engineering and backend development, with strong technical expertise in cloud-based data platforms and distributed systems.
- 8+ years of experience in data engineering, backend engineering, or a related hybrid role.
- Strong hands-on experience with AWS services, including AWS Glue, AWS Lambda, AWS Step Functions, Amazon S3, Amazon Athena, and Amazon Redshift.
- Proven experience designing and building scalable batch data pipelines and ETL systems.
- Strong programming skills in Java for backend services and Python for data processing workflows.
- Experience working with containerized applications and orchestration platforms such as Amazon ECS.
- Familiarity with microservices architectures and backend system design.
- Experience with event-driven systems and messaging services such as SQS and EventBridge.
- Advanced SQL skills with experience optimizing analytical queries and data workloads.
- Knowledge of distributed processing frameworks, including Spark-based solutions.
- Strong understanding of data modeling, storage strategies, partitioning, and performance optimization across multiple data platforms.
- Experience with data quality practices, monitoring frameworks, and governance principles is a plus.
- Familiarity with Apache Airflow or similar orchestration tools is beneficial.
- Experience with semantic data layers, ClickHouse at scale, financial or credit-related data systems, and AWS certifications is considered an advantage.
Benefits
- Fully remote work arrangement from a home office in Romania, Poland, or Portugal.
- Opportunity to collaborate with a diverse international team across multiple regions.
- Flexible working environment within a distributed engineering organization.
- The chance to work on impactful, large-scale data platforms and modern cloud technologies.
- Competitive compensation package based on experience and expertise.
- Opportunity to contribute to technical strategy and influence architecture decisions.
- Professional growth opportunities through challenging engineering projects and collaboration with experienced teams.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
How Jobgether Works
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location