Big Data Engineer - Databricks (Ref:gCPOE) | RSight® · Teeming.ai
RSight®
An optimized combination between Human & Digital.
As new technologies continue to emerge, recruitment challenges are growing.
RSight® is addressing all these challenges and empowers you to focus…
An optimized combination between Human & Digital.
As new technologies continue to emerge, recruitment challenges are growing.
RSight® is addressing all these challenges and empowers you to focus…
Technical IP moat: RSight employs advanced AI algorithms to enhance recruitment efficiency, integrating seamlessly with existing HR tools to create tailored projects, which has led to significant reductions in time-to-hire for early adopters.
Founder-market fit: Founded by Philippe Beucher in 2020, RSight leverages his expertise in AI integration within organizational processes, positioning the company to address the evolving challenges in recruitment effectively.
Investor validation: RSight has secured $4.5M in funding across three rounds, including support from Bpifrance, indicating strong governmental backing for its innovative AI-driven recruitment solutions and confidence in its market potential.
Company Overview
RSight
RSight revolutionizes recruitment with AI-driven solutions that seamlessly align talent with job opportunities, streamlining the hiring and onboarding processes for organizations worldwide.
Why it matters
The global recruitment market is projected to reach $500 billion by 2025, driven by the increasing demand for talent in a competitive landscape. As companies face challenges in sourcing qualified candidates, AI-driven recruitment solutions like RSight address inefficiencies and enhance the hiring experience. The shift towards digital transformation in HR practices underscores the relevance of innovative technologies in optimizing workforce management.
Product snapshot
RSight's platform employs advanced AI algorithms to simplify the recruitment process, offering a comprehensive solution for hiring managers. The system integrates seamlessly with existing HR tools, enabling organizations to create tailored recruitment projects efficiently. Early adopters have reported significant reductions in time-to-hire and improved candidate quality, with testimonials highlighting RSight's user-friendly interface and effective matching capabilities. The company has been recognized as one of the most innovative recruitment firms, reflecting its impact on the industry.
Funding Track Record
Funding Overview
Total verified funding: $4.5M across 3 rounds. Currently at Seed stage.
Funding Track Record
Jun 30, 2025 - Seed: $3,182,319. Lead investor: Not publicly disclosed
Jul 1, 2024 - Seed: $1,395,771. Lead investor: Not publicly disclosed
Jul 1, 2024 - Debt Financing: $322,101. Lead investor: Bpifrance.
Investor Signal
The presence of Bpifrance indicates strong governmental support for innovation in AI recruitment. The multiple seed rounds suggest a focus on refining product-market fit, while the debt financing may signal confidence in revenue generation potential. The lack of disclosed lead investors in seed rounds could imply a strategic focus on stealth growth or early-stage validation.
Founders
What we do
Join the Team
Big Data Engineer - Databricks (Ref:gCPOE)
RemotePL
Remote • PL
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An exciting opportunity to join our client's team at a
fast-growing digital product engineering company with a global presence in 33 countries and over 19,000 experts
. The company builds products, services, and experiences that inspire, excite, and delight. We are looking for a
Big Data Engineer - Databricks
to join this global organization.
Objectives
You will work closely with cross-functional teams to deliver high-quality solutions in domains such as Supply Chain, Finance, Operations, Customer Experience, HR, Risk Management, and Global IT.
Responsibilities
Be part of the technical plan for the migration, including data ingestion, transformation, storage, and access control in Azure's Data Factory and data lake.
Design and implement scalable and efficient data pipelines to ensure smooth data movement from multiple sources using Azure Databricks.
Developing scalable and re-usable frameworks for ingesting of data sets.
Ensure data quality and integrity throughout the entire data pipeline, implementing robust data validation and cleansing mechanisms.
Working with event based/streaming technologies to ingest and process data.
Provide support to the team, resolving any technical challenges or issues that may arise during the migration and post-migration phases.
Qualifications
3+ years of experience working within Data Engineering field.
Hands-on working experience with Azure Databricks.
Experience in Data Modelling & Source System Analysis
Familiarity with PySpark.
Mastery of SQL.
Knowledge of components: Azure Data Factory, Azure Data Lake, Azure SQL DW, Azure SQL.
What our client is offering
Equal Opportunity Employer
RSight®
is an equal opportunity employer and values diversity in the workplace. We encourage all qualified individuals, including those from diverse backgrounds and people with disabilities, to apply.
Application Instructions
Please submit your resume (mandatory) outlining your qualifications and interest in the position. Only candidates selected for interviews will be contacted.
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Stay up to date with the latest advancements in cloud computing, data engineering, and analytics technologies, and recommend best practices and industry standards for implementing the data lake solution.
Experience with Python programming language used for data Engineering purposes.
Ability to conduct data profiling, cataloging, and mapping for technical design and construction of technical data flows.
Experience in data visualization/exploration tools.
Excellent communication skills, with the ability to effectively convey complex ideas to technical and non-technical stakeholders.
Strong team player with excellent interpersonal and collaboration skills.
Access to private medical services.
Sports benefits.
Wellbeing workshops and participation in sports events.
Referral bonus through our BYOB program (Bring Your Own Buddy).
Access to legal assistance and counseling services.
Lunch tickets.
Vacation time depending on seniority with an yearly increase based on years spent in company.
Access to e-learning platforms and various training programs.
Plenty of room for innovation in a high-growth environment featuring the latest technologies and products
Flat hierarchies and a long-term, stable position with attractive development opportunities
Access to highly skilled experts offering training in leadership, technical, and personal development
A flexible working environment
Competitive remuneration and attractive benefits
Opportunities to work with top clients on high-impact projects
