Senior Data Engineer

About the role

• As a Senior Data Engineer at Enfuce, you take end-to-end ownership of the data platform that ingests, processes, and serves reliable data across the company. You design and maintain scalable, secure, and highly available infrastructure and pipelines, ensuring the platform operates with strong reliability, observability, and security standards. You drive the technical

• direction of our data platform, contribute to architectural decisions, and proactively improve performance, cost-efficiency, and long-term maintainability.

• Your work enables analytics, machine learning, agentic AI, and embedded customer-facing data products. You operate independently, solve complex problems with structure, and elevate the

• Data Engineering discipline through high technical standards and strong collaboration with the wider engineering organisation.

What you'll be doing:

• Build, operate, and optimise data pipelines across batch, streaming, and event-driven patterns using technologies such as EventBridge, Firehose, Kinesis, or Kafka.

• Design and maintain cloud-native data infrastructure on AWS, including ingestion, processing, orchestration, and storage layers.

• Develop containerised data services and workflows using Docker and Kubernetes (EKS).

• Use Infrastructure as Code (Terraform preferred) and CI/CD pipelines to automate deployments and enforce consistent, reliable environments.

• Implement monitoring, logging, and alerting to ensure platform reliability, data quality, and fast incident resolution.

• Drive architectural improvements, reduce technical debt, and introduce better tooling, standards, and practices.

• Collaborate with software engineering, analytics, product, and compliance teams to define requirements and deliver high-quality data solutions.

• Mentor engineers, review designs, and contribute to the maturity and excellence of the Data Engineering function.

What you'll bring

• Strong hands-on experience with modern cloud platforms (AWS preferred), especially services relevant to data ingestion, processing, orchestration, and storage.

• Proficiency in Python and SQL, with a track record of building reliable, production-grade data pipelines and services.

• Deep experience with event streaming and event-driven architectures using technologies such as EventBridge, Firehose, Kinesis, or Kafka.

• Practical experience building, deploying, and operating containerized workloads with Docker and Kubernetes (EKS).

• Strong expertise in Infrastructure as Code (Terraform preferred) and modern CI/CD workflows (e.g., GitLab CI).

• Ability to independently lead technical initiatives, make architectural decisions, and deliver high-quality outcomes.

• Effective communication skills for working with engineering, analytics, product, and business stakeholders.

• Experience mentoring others, improving engineering practices, and contributing to a high-quality data platform and team culture.

Why You’ll Love Working At Enfuce:

• High autonomy & ownership: We give you the freedom to own your work and trust you to make the best decisions for your projects.

• Top-tier talent: Join a team of industry experts and highly skilled professionals who are as passionate as you are about innovation.

• Unlimited growth potential: We support your ambition with plenty of room for personal and professional growth within the company.

• Flexible, remote work: Work from anywhere up to 30 days, in an environment that values flexibility and work-life balance.

• A supportive culture: You’ll be part of a team that encourages, motivates, and celebrates success together.

Comprehensive benefits package: We take care of our people with great benefits to match the value you bring.

Benefits & Perks:

Fair pay and employee stock option:

• We value the input of every employee and want you to tap into the growth we build together. That’s why our salaries are competitive and reassessed regularly, and you have access to an employee stock option program.

Flexible Paid Time Off:

• We offer a flexible paid time off policy, providing up to 5 weeks of annual vacation days and paid family leave (subject to country regulations). Additionally, you can benefit from hybrid or remote work options, promoting a healthy work-life balance.

Individual Learning Budget:

• You get a yearly learning budget to use for courses and other relevant learning opportunities that help you develop your skills.