Senior Data Engineer | Apache NiFi

🌍 About Keyrus

Keyrus is a global consulting and technology company focused onmaking data matter — truly matter — from a human perspective.

Founded in 1996, Keyrus operates in28+ countries across 5 continents, with more than3,300 people worldwide. Our strength comes from combining deep expertise inData & Analytics, AI, Digital, and Management Consulting with a strong understanding of business realities.

Data is never the goal in itself.
We use data toshape understanding, design meaningful experiences, and enable better, real-life decisions.

At Keyrus, we also believe companies have a responsibility beyond performance. Through ourFoundation and ESG initiatives, we actively contribute to sustainability, inclusion, and positive societal impact.

#OneTeamOneKeyrus

🎯 The Role

As aSenior 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 onApache NiFi, enabling seamless data flows across multiple systems and platforms in a distributed environment.

📍Job location: Remote (Europe‑based)
🕒Contract type: Contractor B2Bor Permanent (depending on location)
🗓Target start date: June 2026
⏰Working hours: Full-time (40h/week)
💵Compensation:

• Contractor: Between€260/day and €300/day

• Permanent (Portugal/Spain): between€38,000 gross per year and €42,000 gross per year

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

💥 Your Impact

In this role, you will:

• Design, develop, and maintaindata 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.

• Ensuredata quality, security, and governanceacross diverse sources and destinations.

• Optimise and troubleshootNiFi workflows to improve performance, reliability, and scalability

• Work withAPIs to fetch and send real-time data for external integrations (e.g., CustomerGauge).

• Manage and operateNiFi architecture within Kubernetes environments

• Collaborate with data scientists, analysts, and engineers to ensuredata availability and usability

• Improve and optimiseETL/ELT processes for large-scale data processing

• UseNiFi 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 andresolve data pipeline issues, ensuring high availability and reliability.

⚡ What Makes This Role Challenging

• You will work incomplex, multi-source data environments

• You will balancereal-time and batch processing requirements

• You will operate in afully remote, high-autonomy setup

• You will design systems that must be bothscalable and resilient

👤 What We’re Looking For

Must-haves

• Strong expertise inApache NiFi, including flow design, performance tuning, version control, and security configurations.

• Experience indata ingestion, transformation, and processing for bothbatchand real-time workflows.

• Proficiency inSQLandNoSQLdatabases, such asPostgreSQL, MySQL, and MongoDB.

• Experience with big data technologies, includingApache Kafka, Spark, Hadoop, and HDFS.

• Familiarity with cloud platforms (AWS,Azure, orGCP) and their data services (e.g., AWS Redshift, Azure Synapse, Google BigQuery).

• Proficiency in at least one programming language, such asPythonor Java.

• Experience with CI/CD pipelines, version control tools (Git, Jenkins), and automation frameworks.

• Strong problem-solving skills and ability towork independently in a remote environment

• Excellent communication and stakeholder management skills

• Fluency in English

• Must beEurope-based (Portugal/Spain preferred for permanent option)

Nice-to-haves

• Experience withdata warehousing solutions (Snowflake, Redshift, BigQuery)

• Understanding ofcontainerization and orchestration tools, includingDockerandKubernetes.

• Knowledge ofdata security and compliance best practices(e.g., GDPR,HIPAA)

• Experience withdata lakes and real-time analytics solutions

• Background inconsulting or client-facing roles

💰 How Our Salary Ranges Work

At Keyrus, salary ranges reflectdifferent levels of mastery and impact within the same role — not different job titles.

• Bottom of the range
  You meet the core requirements and will need ramp-up time and support.

• Middle of the range
  You are fully autonomous from Day 1 and deliver consistently.

• Top of the range
  You are a reference for the role, mentor others, and raise the bar for the team.

Final offers are based onexperience, autonomy, scope, and market context, and are discussed transparently during the process.

🎁 What We Offer at Keyrus Portugal

• 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 viaKLX – Keyrus Learning Experience

• A collaborative, international, and human-centred work environment

💙 Why Keyrus?

Joining Keyrus means joining:

• Amarket leader in Data Intelligence

• A company wherepeople, trust, and diversity are core values

• An environment that valuesownership, flexibility, and innovation

• A place where different backgrounds and perspectives are not just welcomed = they are essential

We believe diversity drives better thinking, stronger teams, and better outcomes.
Everyone belongs at Keyrus.

At Keyrus, all stages of our recruitment process are conducted and evaluated by human recruiters and interviewers.
To support accuracy and efficiency, AI may occasionally be used internally by our team exclusively fornote-taking purposes during interviews. AI isnever used to make hiring decisions or evaluate candidates.

🔒 To ensurefairness, authenticity, and the protection of confidential and proprietary information, the use of AI tools by candidates during the recruitment process isstrictly prohibited.

Our commitment toresponsible AI practices ensures that hiring decisions are based solely on each candidate’s own skills, experience, judgment, and expertise.

⚠️Any use of AI assistance during the interview process may result in immediate disqualification from the recruitment process.

♿ 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.