Senior Data Engineer

Signify Technology; Paris; Sur place; EUR 90 000 - 120 000; Plein temps

Avantages offerts par ce poste

Equity for all employees

Healthcare coverage

Parental leave

Generous holidays

Paris office

Résumé du poste

Signify Technology in Paris is seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines and processing systems.

You will work across data reliability, quality, and performance improvements, and collaborate with engineering teams to deliver data capabilities and governance. The role emphasizes scalable, production-grade data solutions and modern storage formats.

Qualifications

• Several years of experience designing, developing, and supporting production-grade data pipelines.
• Proficiency in Python and SQL, with exposure to Scala or similar languages.
• Hands-on experience with Apache Spark (PySpark, Spark SQL) for large-scale processing.
• Experience with stream-processing technologies (e.g., Spark Streaming).
• Familiarity with Parquet and modern storage formats like Apache Iceberg.
• Strong understanding of batch vs streaming architectures and data quality practices.
• Proven ability to improve query performance and data processing efficiency.
• Knowledge of distributed data processing engines and data lakes.

Responsabilités

• Design, build, and maintain scalable data pipelines and processing systems.
• Improve reliability, quality, and performance of data across the organisation.
• Develop automated processes to monitor and validate data.
• Create reusable datasets and data solutions for internal teams.
• Optimise data processing workloads for performance, reliability, and cost.
• Collaborate with engineering teams to deliver and improve data capabilities.
• Contribute to the development of the company’s wider data engineering practices.

Connaissances

Python

SQL

Scala

PySpark

Spark SQL

Spark Streaming

Parquet

Iceberg

Data quality

Distributed systems

Outils

Apache Spark

Apache Iceberg

Spark Streaming

Description du poste

Job title: Senior Data Engineer

Job type: Permanent

Salary: Competitive, based on experience

Role Location: Onsite in Paris, France

The Company

An innovative technology company operating in a fast-paced, data-driven environment. The business is focused on building scalable technology and reliable data infrastructure to support a growing range of products and services.

Role And Responsibilities

• Design, build, and maintain scalable data pipelines and processing systems.
• Improve the reliability, quality, and performance of data across the organisation.
• Develop automated processes to monitor and validate data.
• Create reusable datasets and data solutions for internal teams.
• Optimise data processing workloads for performance, reliability, and cost.
• Work closely with engineering teams to deliver and improve data capabilities.
• Contribute to the development of the company's wider data engineering practices.

Job Requirements

• Several years of experience designing, developing, and supporting production-grade data pipelines.
• Strong hands-on ability with Python and SQL, with additional experience in Scala or a comparable programming language.
• Practical experience using Apache Spark, including PySpark and Spark SQL, for large-scale data processing.
• Experience working with stream-processing technologies, including Spark Streaming or equivalent systems.
• Familiarity with Parquet and modern table/storage technologies such as Apache Iceberg.
• Solid understanding of the differences and trade-offs between batch and streaming architectures.
• Demonstrable experience improving query performance and data-processing efficiency.
• Understanding of distributed data processing engines and their underlying architecture/internals.
• Experience working with data lakes, large-scale storage platforms, table formats, and derived/curated datasets.
• Strong understanding of data quality, reliability, monitoring, and operational best practices.

Nice to have:

• Exposure to Apache Flink or another comparable stream-processing framework.
• Experience supporting machine-learning data workflows, including training or inference pipelines.
• Familiarity with areas such as recommendation systems, ranking, embeddings, or entity matching/resolution.
• Experience working with privacy-sensitive datasets or systems involving data retention, deletion, export, or regulatory requirements.

Benefits

• Competitive salary package + equity for all employees, regardless of level.
• Comprehensive healthcare coverage.
• Enhanced parental leave provisions.
• Generous annual holiday allowance.
• Company-wide shutdown periods during the year.
• Modern Paris office with a collaborative working environment.

Accessibility Statement

We make an active choice to be inclusive towards everyone every day. Please let us know if you require any accessibility adjustments through the application or interview process.

Our Commitment To Diversity, Equity, And Inclusion

We are committed to creating an inclusive workplace where everyone has an equitable opportunity to build a successful career, regardless of their background or circumstances. We believe diverse perspectives strengthen our teams and contribute to a better future for everyone.

Check out our DE&I page here