Data Engineer

Euronext Technologies SAS; Paris; Sur place; EUR 45 000 - 70 000; Plein temps

Résumé du poste

Euronext Technologies SAS is seeking a Data Engineer to enhance and maintain their data infrastructure. The ideal candidate will have a strong experience with data pipelines and a collaborative spirit to support the growth of the business across globally distributed teams.

Qualifications

• 3+ years experience as Data Engineer with proven track record.
• Proficiency in Python, SQL, and data pipelines.
• Experience with cloud platforms and big data technologies.

Responsabilités

• Develop and maintain scalable data pipelines.
• Optimize data pipelines for performance and cost.
• Document processes for internal reference.

Connaissances

Python

SQL

Linux shell scripting

Data visualization

Apache Hive

Big Data

Data Warehouse

Formation

Degree in Computer Science or related field

Outils

Tableau

PowerBI

AWS

Hadoop

Kafka

Description du poste

Euronext FX is a leading ECN for Spot FX and Precious Metals as well as NDFs through its Singapore subsidiary Euronext Markets Singapore. Powered by award winning FastMatch technology Euronext FX has matching engines in London New York Tokyo and (through Euronext Markets Singapore) Singapore.

This best-in-class technology is leveraged to deliver flexible execution solutions and quantitative market data products.

Euronext FX is part of the Euronext Group the leading pan-European exchange group which operates regulated markets in Belgium France Ireland Italy

the Netherlands Norway and Portugal as well as non-regulated activities in 16 countries across the world..

As a Data Engineer you will play a critical role in designing building and maintaining our data infrastructure ensuring efficient and accurate data processing storage and retrieval. You will also be responsible for enhancing our data analytics platform. You will collaborate with cross-functional globally distributed teams to support the growth of our business.

Key Accountabilities

• Develop and maintain scalable reliable and high-performance data pipelines to process transform and load data into our data warehouse.
• Collaborate with software engineers data scientists business and product development teams
• Optimize data pipelines for performance and cost-efficiency leveraging best practices and appropriate technologies.
• Implement data quality and validation checks to ensure accuracy and consistency of data.
• Document data pipelines processes and workflows for internal reference and knowledge sharing.

Knowledge Skills and Experience Required

• A degree in computer science information systems or related field.
• At least 3 years experience as Data Engineer with track record of building and maintaining data pipelines.
• Proficiency in Python including performance optimization techniques
• Fluency in Linux shell scripting
• Knowledge of Business intelligence and Data Visualization tools such as Tableau / PowerBI / Qlik
• Expertise in processing and storage of large-scale time-series data and knowledge of related technologies. Knowledge of KDB is a strong plus.
• Strong SQL and relational database experience
• Familiarity with cloud compute platforms is a plus.
• Understanding of software development life cycle
• Interest in automated testing and continuous integration
• A drive to learn and master new technologies and techniques
• Comfortable in a fast-paced dynamic environment
• Excellent communication and collaboration skills
• Financial industry experience is preferred but not required

Euronext Values

Unity

We respect and value the people we work with

We are unified through a common purpose

We embrace diversity and strive for inclusion

Integrity

We value transparency communicate honestly and share information openly

We act with integrity in everything we do

We dont hide our mistakes and we learn from them

Agility

We act with a sense of urgency and decisiveness

We are adaptable responsive and embrace change

We take smart risks

Energy

We are positively driven to make a difference and challenge the status quo

We focus on and encourage personal leadership

We motivate each other with our ambition

Accountability

We deliver maximum value to our customers and stakeholders

We take ownership and are accountable for the outcome

We reward and celebrate performance

We are proud to be an equal opportunity employer. We do not discriminate against individuals on the basis of race gender age citizenship religion sexual orientation gender identity or expression disability or any other legally protected factor. We value the unique talents of all our people who come from diverse backgrounds with different personal experiences and points of view and we are committed to providing an environment of mutual respect.

Additional Information

This job description is only describing the main activities within a certain role and is not exhaustive. It does not prevent to add more tasks projects.

Key Skills

Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

Employment Type : Full-Time

Experience : years

Vacancy : 1