Spain Job Openings

Amaris Consulting

SENIOR DATA ENGINEER

Madrid

September 10, 2024


Who are we?
Amaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1,000 clients across the globe, we have been rolling out solutions in major projects for over a decade – this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We’re focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success.

At Amaris, we strive to provide our candidates with the best possible recruitment experience. We like to get to know our candidates, challenge them, and be able to give them proper feedback as quickly as possible. Here's what our recruitment process looks like:

Brief Call: Our process typically begins with a brief virtual/phone conversation to get to know you! The objective? Learn about you, understand your motivations, and make sure we have the right job for you!

Interviews (the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities!

Case study: Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc.

As you know, every person is different and so is every role in a company. That is why we have to adapt accordingly, and the process may differ slightly at times. However, please know that we always put ourselves in the candidate's shoes to ensure they have the best possible experience.
We look forward to meeting you!
Job description
Take your career to the next level with Amaris Consulting as a AWS DATA ENGINEER-REMOTE SPAIN. Be part of an international team, thrive in a global group with a €800M turnover and over 1,000 clients worldwide, and an agile environment. The ideal candidate will have a strong background in front-end technologies and a passion for delivering exceptional user experiences.
✍️WHAT WOULD YOU NEED? ✍️
Experience:
  • Minimum of [3] years of experience in (SNOWFLAKE) data engineering.
  • Proven experience with AWS services, including Glue, Lambda, and S3.
  • Hands-on experience with Snowflake, including data modeling and performance tuning.
  • Strong proficiency in Python programming and SQL query writing.
  • In-depth knowledge of AWS architecture and best practices.
  • Experience with ETL/ELT processes and data pipeline orchestration.
  • Familiarity with data warehousing concepts and relational databases.
  • Excellent problem-solving skills and attention to detail.
Certifications:
  • AWS Certified Data Analytics – Specialty or AWS Certified Solutions Architect – Associate is a plus.
  • Snowflake certifications are highly desirable.
Desired:
Data Pipeline Development:
  • Design, develop, and maintain scalable data pipelines using AWS Glue and other AWS services.
  • Implement ETL/ELT processes to transform and move data across systems.
Data Integration and Storage:
  • Work with Snowflake to manage data storage, optimize performance, and ensure data security.
  • Integrate diverse data sources, including structured and unstructured data, into Snowflake.
Serverless Computing:
  • Utilize AWS Lambda for serverless data processing and real-time data analytics.
  • Automate data workflows and manage event-driven architectures using AWS services.
Programming and Scripting:
  • Develop, test, and maintain Python scripts for data processing tasks.
  • Write complex SQL queries to support data extraction, transformation, and loading (ETL).
Data Quality and Performance Optimization:
  • Ensure data quality, integrity, and accuracy across all data pipelines.
  • Monitor and optimize the performance of data systems, ensuring minimal latency and high availability.
Collaboration and Documentation:
  • Work closely with data analysts, data scientists, and other stakeholders to understand data needs and provide solutions.
  • Document data processes, pipelines, and systems architecture for ongoing maintenance and future reference.

WHAT WILL YOU BE DOING?
  • Create and implement new front-end features from the ground up using Vue.js 3.
  • Engage in the full application lifecycle, focusing on producing high-quality, secure code, debugging issues, and meeting project deadlines.
  • Investigate, assess, and analyze technical and design specifications.


WHY US? ?
Join our dynamic team of talented people and discover a world full of growth and opportunity. Here's what we offer:
  • Rapid growth through a personalised career path and salary assessment. 70% of our senior leaders started in entry-level positions.
  • Improve your skills through our Technology Academy catalogue, Udemy platform, language classes, webinars and workshops.
  • Take control of your training with a personal annual budget and company-paid certifications.
  • Enjoy flexible policies, remote work options and excellent social benefits such as transport and restaurant tickets, childcare support and private health insurance.
  • Benefit from our We Care programme, which supports employees in critical situations.
  • Unlock your full potential, both professionally and personally.
Amaris Consulting prides itself on being an equal opportunity employer. We are committed to promoting diversity within the workforce and creating an inclusive work environment. To this end, we welcome applications from all qualified candidates, regardless of gender, sexual orientation, race, ethnicity, creed, age, marital status, disability or other characteristics.

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