Data Infrastructure Architect

hace 2 semanas


Barcelona, Barcelona, España Kantox A tiempo completo

Company Overview

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Kantox is a leading fintech company that specializes in Currency Management Automation software solutions, helping businesses automate their foreign exchange processes and leverage currencies for growth. With over 200 employees split between London and Barcelona, we've raised over €30 million and achieved profitability in 2018.

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Job Description

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We're seeking an experienced Data Engineer to join our team, responsible for designing, improving, and enhancing our current data architecture. As a key member of our Data team, you'll work closely with data science, business intelligence, and cloud engineering teams to develop and manage data products across multiple domains.

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Key Responsibilities:

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  • Collaborate with cross-functional teams to design and implement scalable, reliable, and efficient data architectures and pipelines">
  • Build high-performance, scalable data products using Python, Scala, and Spark/PySpark">
  • Integrate new and existing data sources into ETL and reverse ETL pipelines">
  • Design and implement data governance strategies, including cataloging, discovery, and secure access">
  • Ensure data quality and reliability through standardized monitoring, CI/CD, and testing practices">
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Required Skills and Qualifications

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We're looking for a highly skilled Data Engineer with over 4 years of experience in delivering efficient data solutions in production environments. Key requirements include:

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  • Experience building data systems with real-time data streams and batch processing systems using Apache Kafka and Apache Spark/PySpark">
  • Proficient in Python programming (knowledge of Scala is a plus)">
  • Familiarity with orchestration tools like Dagster, Airflow, and Prefect">
  • Knowledgeable in AWS services like S3 and Redshift, as well as infrastructure tools like Terraform, Kubernetes, and ArgoCD">
  • Solid understanding of software engineering practices, including version control, CI/CD, testing, and documentation">
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Benefits

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We offer a competitive salary of approximately $120,000 - $180,000 per year, depending on location and experience. Additional benefits include:

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  • A comprehensive learning budget to support your professional development">
  • Free private health insurance and relocation package if needed">
  • Flexible working hours, hybrid work model, and 29 days of annual vacation">
  • Gym discounts and free sports activities">
  • Restaurant ticket with monthly credit and regular cross-team lunches">
  • Fresh fruit and unlimited coffee">
  • Pizza Fridays and beautiful office with incredible 360-degree views of Barcelona">
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About Kantox

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Kantox is a rapidly growing company with a dynamic phase, offering a stimulating role with significant growth potential. We're committed to diversity, equity, and inclusion, and welcome applications from all qualified candidates.

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What You Will Do

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You will collaborate closely with data science, business intelligence, and cloud engineering teams to develop and enhance our data platform, enabling efficient data collection, processing, accessibility, usability, and monitoring. Automate the self-service platform and create tools for generating data products. Build highly scalable and reliable data assets using Python, Scala, and Spark/PySpark. Integrate new and existing data sources into our ETL and reverse ETL pipelines. Design a data strategy that leverages the appropriate tools for data governance, cataloguing, and discovery, while ensuring secure access. Ensure data quality and reliability by implementing standardised monitoring, CI/CD, and testing practices. Continuously explore and adopt new technologies and best practices to enhance our data infrastructure. Work within the Tech Team, adhering to agile methodologies. Gain a deep understanding of the business to identify the data needs of various internal and external stakeholders, applying this insight to design optimal solutions.

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Who You Are

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Over 4 years of professional experience as a Data Engineer, with proven expertise in delivering efficient data solutions in production environments. Experience building data systems with real-time data streams, preferably using Kafka, and batch processing systems with Apache Spark/PySpark. Skilled in ingesting data from various sources, including relational databases, NoSQL databases, unstructured data, and data streams. Proficient in Python programming (knowledge of Scala is a plus). Experience with orchestration tools such as Dagster, Airflow, and Prefect. Familiar with AWS services like S3 and Redshift. Knowledgeable in infrastructure tools such as Terraform, Kubernetes, and ArgoCD. Experience with data quality tools like Great Expectations, Soda, or data contracts. Solid understanding of software engineering practices, including version control, CI/CD, testing, and documentation. Familiarity with Data Lifecycle Management, including development, storage, and access. Experience with agile methodologies and collaboration tools like Jira and Confluence. Strong team player with the ability to communicate effectively across multiple teams and stakeholders, both internal and external. Adaptable to dynamic environments, committed to continual improvement, and quick to embrace change and adopt new technologies. Fluent in English. Permission to work within the EU is a plus.



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