Data Engineer – Data Management (Relational Database, DWH) – Level 1

Keoni; Paris; Hybride; EUR 52 000 - 76 000; Plein temps

Résumé du poste

Kéoni Consulting in Europe (Paris) is seeking a Data Engineer to design and build robust data infrastructures from a systems and security perspective. You will ensure the collection, storage, and processing of data flows to meet business needs and enable reliable access for data scientists and analysts.

Responsibilities include defining metadata structures, implementing machine learning models, maintaining production data pipelines, and monitoring deployed applications.

Qualifications

• Experience with SQL Server and SSIS in enterprise environments.
• Strong command of Power BI and data visualization.
• Familiarity with data pipelines, data warehousing, and data security.

Responsabilités

• Data Infrastructure: Maps and documents data sources; maintains production applications and their infrastructure.
• Data integration: Captures and stores data from multiple sources; ensures data quality and security.

Connaissances

SQL Server

SSIS

Power BI

Data governance

MLOps

Description du poste

Context Overall objective: Develop Internal IS ProjectRESPONSIBILITIES: Expertise in data management (relational databases, data warehouses), SQL routine development, and Angular and Netcore process development.Technical Skills: SQL Server – Confirmed – Essential; SSIS – Confirmed – Essential; Power BI – Confirmed – ImportantProfessional English language skills (Important)Job Description : The Data Engineer develops and builds data infrastructures from a system and security perspective. They ensure the collection, storage, and processing of data flows to meet the company's needs. They guarantee high-quality access to data sources that feed storage spaces, facilitating their use by Data Scientists and Data Analysts. They also define the metadata structure, implement machine learning models, and maintain and participate in the operational monitoring of developed applications and models.TASKS AND ACTIVITIES Data Infrastructure: Maps and documents data sources. Ensures the maintenance of various applications deployed in production and their associated infrastructure. Designs solutions for processing large volumes of data streams. Structures databases (semantics, format, etc.). Contributes to the management of data repositories.Data integration: Captures and stores data (structured or unstructured) produced in various applications or received from outside the company. Ensures the supervision and integration of diverse data from multiple sources. Verifies data quality and ensures its security.MLOPS (Machine Learning Operations) assists Data Scientists in optimizing the technical performance of Machine Learning models. It industrializes the Machine Learning models designed by Data Scientists.Technology Watch: Remains vigilant regarding technologies related to data processing and manipulation, and identifies usable solutions. Proposes improvements for existing data infrastructures and solutions.Application: CV + cover letter + copies of diplomas to be sent to [e-mail] in 2008, Kéoni Consulting is an IT consulting and engineering firm specializing in the banking, financial markets, insurance, and industrial sectors. We are the partner for major accounts in their digital transformation. We help them transform their business model, align their operational processes, select the best technologies, and mitigate and overcome the risks associated with digitalization. Kéoni Consulting helps companies to: Make a difference , innovate and create , reinvent their business, satisfy customers, gain a competitive advantage, become the leader in their sector, and become the leader in their sector. Our services cover the entire information systems lifecycle (Project Management, Business Analysis Consulting, Design, Implementation, Maintenance, Production, and Operations).**Job Category:** Digital Transformation**Job Type:** Full Time**Work location:** Europe