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Customer Success Manager

RPMGlobal

Comunidad Valenciana

Presencial

EUR 60.000 - 70.000

Jornada completa

Hace 30+ días

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Descripción de la vacante

Join a forward-thinking company as a Data Engineer, where you'll design and build robust data pipelines that empower decision-making. In this role, you'll work independently in an AGILE environment, utilizing cutting-edge tools like Apache Airflow and Databricks. The position offers the chance to tackle real-world data challenges while collaborating with talented professionals across various teams. If you're passionate about data engineering and eager to contribute to innovative projects, this opportunity is perfect for you. Embrace a culture that values diversity and encourages personal growth while delivering impactful solutions in a supportive environment.

Servicios

Annual bonuses
Paid Time Off policy
Region-specific benefits

Formación

  • 3+ years of experience in data engineering with strong cloud infrastructure skills.
  • Proven track record of building scalable data pipelines and AI model management.

Responsabilidades

  • Design and maintain scalable data pipelines for analytics and ML models.
  • Collaborate with cross-functional teams to implement new product features.

Conocimientos

Data Engineering
Cloud Infrastructure
Python
SQL
Apache Airflow
Databricks
Real-time Data Processing
DevOps Practices
AI Implementation
ETL/ELT Processes

Educación

Bachelor's Degree in Computer Science or related field

Herramientas

Snowflake
Apache Kafka
PySpark
AWS

Descripción del empleo

Edelman is a voice synonymous with trust, reimagining a future where the currency of communication is action. Our culture thrives on three promises: boldness is possibility, empathy is progress, and curiosity is momentum. At Edelman, we understand diversity, equity, inclusion, and belonging (DEIB) transform our colleagues, our company, our clients, and our communities. We are in relentless pursuit of an equitable and inspiring workplace that is respectful of all, reflects and represents the world in which we live, and fosters trust, collaboration, and belonging.

We are currently seeking a Data Engineer with 3-5 years’ experience. The ideal candidate would have the ability to work independently within an AGILE working environment and have experience working with cloud infrastructure leveraging tools such as Apache Airflow, Databricks, and Snowflake. A familiarity with real-time data processing and AI implementation is advantageous.

Why You'll Love Working with Us:

At Edelman, we believe in fostering a collaborative and open environment where every team member’s voice is valued. Our data engineering team thrives on building robust, scalable, and efficient data systems to power insightful decision-making. We are at an exciting point in our journey, focusing on designing and implementing modern data pipelines, optimizing data workflows, and enabling seamless integration of data across platforms. You’ll work with best-in-class tools and practices for data ingestion, transformation, storage, and analysis, ensuring high data quality, performance, and reliability. Our data stack leverages technologies like ETL / ELT pipelines, distributed computing frameworks, data lakes, and data warehouses to process and analyze data efficiently at scale. Additionally, we are exploring the use of Generative AI techniques to support tasks like data enrichment and automated reporting, enhancing the insights we deliver to stakeholders.

This role provides a unique opportunity to work on projects involving batch processing, streaming data pipelines, and automation of data workflows, with occasional opportunities to collaborate on AI-driven solutions. If you’re passionate about designing scalable systems, building reliable data infrastructure, and solving real-world data challenges, you’ll thrive here. We empower our engineers to explore new tools and approaches while delivering meaningful, high-quality solutions in a supportive, forward-thinking environment.

Responsibilities:

  • Design, build, and maintain scalable and robust data pipelines to support analytics and machine learning models, ensuring high data quality and reliability for both batch & real-time use cases.
  • Design, maintain, and optimize data models and data structures in tooling such as Snowflake and Databricks.
  • Leverage Databricks and Cloud-native solutions for big data processing, ensuring efficient management of Spark jobs and seamless integration with other data services.
  • Utilize PySpark and/or Ray to build and scale distributed computing tasks, enhancing the performance of machine learning model training and inference processes.
  • Monitor, troubleshoot, and resolve issues within data pipelines and infrastructure, implementing best practices for data engineering and continuous improvement.
  • Diagrammatically document data engineering workflows.
  • Collaborate with other Data Engineers, Product Owners, Software Developers, and Machine Learning Engineers to implement new product features by understanding their needs and delivering timely solutions.

Qualifications:

  • Minimum of 3 years experience deploying enterprise-level scalable data engineering solutions.
  • Strong examples of independently developed data pipelines end-to-end, from problem formulation, raw data, to implementation, optimization, and result.
  • Proven track record of building and managing scalable cloud-based infrastructure on AWS (incl. S3, Dynamo DB, EMR).
  • Proven track record of implementing and managing AI model lifecycle in a production environment.
  • Experience using Apache Airflow (or equivalent), Snowflake, Lucene-based search engines.
  • Experience with Databricks (Delta format, Unity Catalog).
  • Advanced SQL and Python knowledge with associated coding experience.
  • Strong experience with DevOps practices for continuous integration and continuous delivery (CI/CD).
  • Experience wrangling structured & unstructured file formats (Parquet, CSV, JSON).
  • Understanding and implementation of best practices within ETL and ELT processes.
  • Data Quality best practice implementation using Great Expectations.
  • Real-time data processing experience using Apache Kafka (or equivalent) will be advantageous.
  • Work independently with minimal supervision.
  • Takes initiative and is action-focused.
  • Mentor and share knowledge with junior team members.
  • Collaborative with a strong ability to work in cross-functional teams.
  • Excellent communication skills with the ability to communicate with stakeholders across varying interest groups.
  • Fluency in spoken and written English.

60,000 - €70,000 a year. An employee’s pay position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, travel requirements, revenue-based metrics, any contractual agreements, and business or organizational needs. The range listed is just one component of DJEH’s total compensation package for employees. Other rewards may include annual bonuses, a Paid Time Off policy, and region-specific benefits.

We are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role but your experience doesn’t perfectly align with every qualification, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

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