Offer summary

Qualifications:

5+ years experience as Data Engineer, Knowledge in Python and SQL, Experience with Big Data technologies, Familiarity with ETL tools and workflows, Experience in Database Management Systems.

Key responsabilities:

Maintain integrity of the data model

Improve and create new data structures

Collaborate with internal and integration teams

Design flexible and scalable data structures

Work globally across multiple brands

Huxley delivers world-class recruitment services that adapt as businesses evolve. For over 20 years, Huxley has provided comprehensive solutions that strengthen our partnerships with customers. Global teams in local markets specialise in placing Banking and Finance, Engineering, Commercial and Technology jobs across a wide range of industries. Working with companies of all sizes from large multi-nationals to innovative start-ups, we offer compliant solutions that meet both global and local regulatory standards. Our teams deliver mid-level management roles through to leadership positions on a contract, permanent, interim and retained basis, as well as talent management consultancy, including salary surveys, location strategies, talent mapping, diversity consulting and organisational design. Huxley is a part of the SThree Group.

Job description

For one of our best clients in Barcelona, we are looking for a senior Data engineer with over 5 years of experience, who has worked in retail and has strong knowledge and experience in data integration and structuring.

Fin bellow the details about the position:

Duration and dedication:

1 year + extension
Full time

Daily Tasks:

Maintain the integrity of the existing data model.
Improve the model and create new data structures.
Interact with the internal team, as well as integration teams, analysts, and data scientists.
Must be capable of designing a data structure that is flexible and scalable.
Will work at a global level (for the 11 brands) from headquarters.

Requirements:

5+ years of experience as a Data Engineer in data structuring and transformation [Data Architect, ETL Developer, Data Quality Engineer, Data Security Engineer].
Experience in data structures and knowledge of business workflows.
Knowledge in programming languages (Python and SQL).
Knowledge and experience in Big Data technologies (Hadoop, Spark, and Kafka).
Knowledge and experience in Database Management Systems - Relational [SQL, PostgreSQL] and non-relational [MongoDB, Cassandra].

Preferred:

Data Architect, ETL Developer, Data Quality Engineer, Data Security Engineer.
Familiarity with data integration and ETL tools, DBT.
Strong problem-solving and analytical skills.
Excellent communication and collaboration abilities.
Experience with Jira / Confluence.

Soft Skills:

The candidate will need to interact with stakeholders and require diplomatic skills-being a good communicator capable of conveying requirements, interactions, and so forth.
Secondly, the person should have principles and a sense of teamwork. If they come to the office, the team is very cohesive, so their interaction should not disrupt the balance. The person should know how to relate to others and be ingrained in teamwork.

Process: