[Hiring] Senior Data Engineer @Keyrus Portugal

Role Description

As a Senior Data Engineer (Apache NiFi) , you will work at the intersection of data, technology, and business, helping our clients build and optimise robust data pipelines that transform complex data landscapes into actionable insights. You will play a key role in designing and maintaining scalable data integration solutions, with a strong focus on Apache NiFi , enabling seamless data flows across multiple systems and platforms in a distributed environment.

Job location: Remote (Europe‑based)

Contract type: Contractor B2B or Permanent (depending on location)

Target start date: June 2026

Working hours: Full-time (40h/week)

Compensation: Contractor: Between €260/day and €350/day; Permanent (Portugal/Spain): between €38,000 gross per year and €45,000 gross per year

Note: All applications (CVs) must be submitted in English.

Your Impact

• Design, develop, and maintain data pipelines using Apache NiFi, ensuring efficient ingestion and transformation.
• Integrate structured and unstructured data from multiple sources, including Salesforce, APIs, SFTP, SAP, and CRM, into cloud-based and on-premise databases.
• Ensure data quality, security, and governance across diverse sources and destinations.
• Optimise and troubleshoot NiFi workflows to improve performance, reliability, and scalability.
• Work with APIs to fetch and send real-time data for external integrations (e.g., CustomerGauge).
• Manage and operate NiFi architecture within Kubernetes environments.
• Collaborate with data scientists, analysts, and engineers to ensure data availability and usability.
• Improve and optimise ETL/ELT processes for large-scale data processing.
• Use NiFi Registry and Toolkit to maintain version control and streamline deployments across environments.
• Develop Bash and Python scripts for automation, monitoring, and workflow execution.
• Implement CI/CD pipelines for data pipeline deployments and workflow automation.
• Analyse and resolve data pipeline issues, ensuring high availability and reliability.

What Makes This Role Challenging

• You will work in complex, multi-source data environments.
• You will balance real-time and batch processing requirements.
• You will operate in a fully remote, high-autonomy setup.
• You will design systems that must be both scalable and resilient.

Qualifications

• Strong expertise in Apache NiFi, including flow design, performance tuning, version control, and security configurations.
• Experience in data ingestion, transformation, and processing for both batch and real-time workflows.
• Proficiency in SQL and NoSQL databases, such as PostgreSQL, MySQL, and MongoDB.
• Experience with big data technologies, including Apache Kafka, Spark, Hadoop, and HDFS.
• Familiarity with cloud platforms (AWS, Azure, or GCP) and their data services (e.g., AWS Redshift, Azure Synapse, Google BigQuery).
• Proficiency in at least one programming language, such as Python or Java.
• Experience with CI/CD pipelines, version control tools (Git, Jenkins), and automation frameworks.
• Strong problem-solving skills and ability to work independently in a remote environment.
• Excellent communication and stakeholder management skills.
• Fluency in English.
• Must be Europe-based (Portugal/Spain preferred for permanent option).

Nice-to-haves

• Experience with data warehousing solutions (Snowflake, Redshift, BigQuery).
• Understanding of containerization and orchestration tools, including Docker and Kubernetes.
• Knowledge of data security and compliance best practices (e.g., GDPR, HIPAA).
• Experience with data lakes and real-time analytics solutions.
• Background in consulting or client-facing roles.

Benefits

• Competitive salary aligned with your experience and the data market.
• Meal allowance: €10.20/day.
• Flexible benefits plan.
• Private medical insurance.
• 22 days of annual leave, increasing every 3 years (up to 25 days).
• Continuous learning via KLX – Keyrus Learning Experience.
• A collaborative, international, and human-centred work environment.

Equal Opportunity Statement

We are committed to building an inclusive workplace and encourage applications from all backgrounds, regardless of race, ethnicity, gender identity, sexual orientation, age, disability, or any other protected characteristic.