Senior Data Engineer

Qodea; Paris; Hybride; EUR 55 000 - 75 000; Plein temps

Résumé du poste

A leading Google Cloud consultancy in Paris is seeking a Senior Data Engineer to design and maintain scalable data pipelines. This role involves ensuring data quality and collaborating with data scientists. The candidate should excel in cloud technologies and have strong SQL skills, with opportunities for career growth and flexible working arrangements.

Prestations

Competitive base salary

Discretionary company bonus

Employee referral scheme

Meal Vouchers

Health Care Package

Life and Health Insurance

28 days annual leave

Flexibility with working hours

Sabbatical leave after 5 years

Industry-recognized training

Qualifications

• Strong experience in cloud platforms including AWS, Azure, or GCP.
• Proficiency in SQL with experience in relational databases.
• Experience with big data tools like Hadoop, Spark, or Hive is required.
• Ability to mentor junior team members is a plus.

Responsabilités

• Design, build, and maintain data pipelines for data ingestion.
• Ensure data quality and troubleshoot data issues.
• Collaborate with data scientists to optimize data models.
• Monitor data infrastructure for availability and performance.

Connaissances

Experience in contributing to technical decision making

Strong communication and stakeholder management skills

Cloud platforms experience (AWS, Azure, GCP)

Strong proficiency in SQL

Experience with Hadoop, Spark, or Hive

Proficiency in Python and another programming language

Analytical and problem-solving skills

Outils

Google Cloud Platform

MySQL

PostgreSQL

Oracle

Amazon Redshift

Google BigQuery

Apache Airflow

Description du poste

Join Europe's leading, high-growth Google Cloud consultancy. At Qodea, you’ll be part of a team energised by innovation and passionate about delivering exceptional results. We craft cutting-edge solutions in data and analytics, AI, cloud infrastructure and security, driving digital transformation that empowers our customers to scale, modernise and lead in their industries. We’re driven by ideas and powered by our people.

We are looking for a Senior Data Engineer to deliver solutions that surpass our customers expectations, by utilising cutting-edge tools and technologies.

We really value in-person collaboration, so we're looking for you to spend at least 60% of your time on-site. This means being at our company offices or at a client's site.

How You’ll Shape Our Success

The purpose of this role is to design, build, and maintain scalable data pipelines and infrastructure that enable the efficient processing and analysis of large, complex data sets.

What You’ll Do

Develop and maintain automated data processing pipelines using Google Cloud:

• Design, build, and maintain data pipelines to support data ingestion, ETL, and storage
• Build and maintain automated data pipelines to monitor data quality and troubleshoot issues

Implement and maintain databases and data storage solutions:

• Stay up-to-date with emerging trends and technologies in big data and data engineering
• Ensure data quality, accuracy, and completeness

Implement and enforce data governance policies and procedures to ensure data quality and accuracy:

• Collaborate with data scientists and analysts to design and optimise data models for analytical and reporting purposes
• Develop and maintain data models to support analytics and reporting
• Monitor and maintain data infrastructure to ensure availability and performance

What You’ll Need to Succeed

• Experience in contributing to technical decision making during in-flight projects.
• A track record of being involved in a wide range of projects with various tools and technologies, and solving a broad range of problems using your technical skills.
• Demonstrable experience of utilising strong communication and stakeholder management skills when engaging with customers
• Significant experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).
• Strong proficiency in SQL and experience with relational databases such as MySQL, PostgreSQL, or Oracle.
• Experience with big data technologies such as Hadoop, Spark, or Hive.
• Familiarity with data warehousing and ETL tools such as Amazon Redshift, Google BigQuery, or Apache Airflow.
• Proficiency in Python and at least one other programming language such as Java, or Scala.
• Willingness to mentor more junior members of the team.
• Strong analytical and problem-solving skills with the ability to work independently and in a team environment.

How You’ll Grow

• Exceptional performance in this role can lead to advancement opportunities within our career framework or internal opportunities with other business areas, aligned with your career aspirations and business needs.
• Potential career development could include progression to the next level or cross-skilling into related roles, based on performance and ongoing development.

Financial:

• Competitive base salary.
• Discretionary company bonus scheme.
• Employee referral scheme
• Meal Vouchers

Health & Wellbeing:

• Health Care Package
• Life and Health Insurance
• Bookster

Time Off & Flexibility:

• 28 days of annual leave
• Floating bank holidays
• An extra paid day off on your birthday.
• Ten paid learning days per year.
• Flexible working hours
• Sabbatical leave (after 5 years).
• Work from anywhere (up to 3 weeks per year).

Development & Recognition:

• Industry-recognised training & certifications.
• Bonusly: employee recognition and rewards platform.
• Clear opportunities for career development.
• Length of Service Awards.

Extra Perks:

• Regular company events.

Diversity and Inclusion Statement

At Qodea, we champion diversity and inclusion. We believe that a career in IT should be open to everyone, regardless of race, ethnicity, gender, age, sexual orientation, disability or neurotype. We value the unique talents and perspectives that each individual brings to our team, and we strive to create a fair and accessible hiring process for all. If you feel we can improve in any way, please reach out to our careers team via email at [e-mail] or connect with us on LinkedIn via our Qodea Company Page.