Medior/Senior Data Ops Engineer

Date de publication : Nov 14, 2023, 1:53PM

Grow your career as a Data Ops Engineer at Orange Business — based in Brussels, driven by impact.

Medior/Senior Data Ops Engineering Consultant

Permanent

FR or NL + EN

Our Digital & Data team at Orange Business is a dynamic community of expert consultants revolutionizing Customer Experience, Cloud, Data, and AI across various sectors, including retail, finance, manufacturing, life sciences, and public services.

With 30 years of expertise, we remain at the forefront of innovation, revolutionizing business transformation across industry with the full potential of vanguard Data technologies at scale in a sustainable way.

We have a significant international presence, with 20% of our activity extending beyond Belgium, and this number continues to grow. By joining us, you will be part of a global impact on businesses around the world.

Check out some of our ongoing projects:

At Carrefour, Orange Business ensures the seamless operation and evolution of the Data Platform, managing both analytical and operational data flows with a focus on reliability and performance. We handle diverse workloads, including batch and stream processing. By processing everyday terabytes of data that feed dashboards and web APIs, we empower Carrefour to leverage data-driven insights and support their business growth.

Big Pharma International Company: Orange Business migrated a Drug Discovery Data Platform hosted on-premises from a Hadoop stack to Azure. During the migration, we improved various data flows to reduce processing time, implemented proactive data quality checks, and optimized the CI/CD pipelines. Our efforts resulted in a more efficient and reliable platform, allowing scientists to quickly and safely assess the potential of tested molecules for new drugs development.

For Paradigm, Orange Business created a data platform and a unified set of tools for all public sector to conduct data projects, with a focus on Kubernetes and DevOps processes to enable self-service and standardization. We were able to handle many projects from all administrations, ranging from API management to data processing & analytics, as well as data science modelling.

This is a great opportunity for someone who enjoys owning deliverables, working close to the business, and growing their craft in a supportive, high-standards engineering culture.

Interested in taking part in this exciting journey? Please take a look at the following requirements and let’s meet up if that matches your profile

What You’ll Do: All the responsibilities we’ll trust you with

As Data Ops engineer, your role will involve developing, testing, and continuously deploying data solutions in cloud environments. Your expertise will help optimize data workflows, orchestrating end-to-end data lifecycles and ensuring efficient data pipeline operations for our clients across various sectors.

Lead the Way:

Use an analytical, data-driven approach to support business cases.

Engage with Stakeholders and Get Creative:

Work with clients and partners to design data pipelines and deliver insightful analytics while ensuring data integrity.

Use your technical knowledge:

implement effective solutions by leveraging top-notch technologies and automating key components of client’s infrastructure.

Mentor and Collaborate:

Possibility to give training in our Cloud and Data Academy or present advanced tech topics during Lunch & Learn session.

Who you are: Your interests & soft skills:

Interest in

digital transformation

and

data-driven

solutions

Proactive mindset

and

outside the boxthinking

to tackle challenges.

You are able to

explain technical concepts to a non-technical audience .

You excel in interpersonal communication

and know how to have a

professional and commercial approach

with customers.

You value

collaboration

as a way to succeed

Strong

communication

and

presentation

skills in

French

and/or

Dutch

+

English

Your technical expertise:

A master’s degree

or

PhD

in Mathematics, Statistics, Computer Science, Engineering, Business Engineering, Physics or any related field

At least 3 years of relevant experience

as a

Data/DevOps/Software Engineer .

A strong interest in

data management

(databases systems and ETL processes).

Programming:

A strong SQL and Python knowledge.

Deployment and Orchestration:

Experience working with deployment and orchestration technologies (i.e., Do