Software Engineer - Backend & Data

Mlabs Ltd
Canton de Châteauponsac, France
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
$ 80K

Job location

Remote
Canton de Châteauponsac, France

Tech stack

API
Amazon Web Services (AWS)
Data analysis
Azure
Software as a Service
Cloud Computing
Data Architecture
Data Files
ETL
Python
Machine Learning
Scrum
Power BI
Standard Sql
Software Engineering
Tableau
Web Applications
Data Storage Technologies
Cloud Platform System
System Availability
Backend
Pandas
Api Design
Data Pipelines

Job description

We are hiring on behalf of our client who is seeking a skilled Software Engineer - Backend & Data. The organization analyzes over 20 billion search signals to predict the next major consumer trends, enabling brands to optimize their marketing and product development strategies.

In this role, the successful candidate will help design and implement the next iteration of the data pipeline, storage solutions, and APIs backing a high-traffic SaaS platform. This is a remote, full-time contractor position open to qualified candidates located within Europe, operating with a high degree of autonomy., * Pipeline & API Development: Define, design, and implement continuous improvements for the SaaS platform, data storage, and ETL pipelines related to security, quality, testing, automation, and new features

  • Platform Maintenance: Ensure the high availability, scalability, and performance of the platform, data architecture, and associated internal tools
  • Cross-Functional Collaboration: Support internal staff and external stakeholders in understanding and maximizing the utility of the platform's data and tools
  • Sprint Management: Contribute actively to sprint planning, backlog grooming, and task prioritization; estimate technical effort and assist in establishing realistic project timelines
  • Project Tracking: Proactively track and report on development progress, identifying and resolving potential delays or technical roadblocks early, * Impact: Opportunity to work directly alongside the company founders to influence the strategic technical direction of a well-funded, profitable platform
  • Environment: A remote, flexible work style built on high professional standards, pragmatic problem-solving, and mutual respect
  • Market Relevance: Engagement with a platform at the forefront of machine learning and consumer trend prediction, working with data utilized by Fortune 500 consumer goods companies

Interview Process

The selection process is structured to respect the candidate's time while ensuring a strong mutual fit. The stages will proceed as follows:

  • Asynchronous Personality Assessment (30 minutes)
  • Hiring Manager Interview (30 minutes)
  • Technical Case Study (2 hours)
  • Final Interview (30 minutes) - Discussion of the case study with the CEO and Hiring Manager

Requirements

  • Experience: Minimum of 3 years of professional software engineering experience, specifically focused on backend development and ETL pipelines for web applications
  • Data Expertise: Proven experience collecting, cleaning, structuring, and analyzing large, complex data sets
  • Technical Stack: High proficiency in Python, Pandas, and SQL
  • Location: Must be physically located and working within Europe (with capability to align with required operational time zones)
  • Core Competencies: Strong deductive reasoning and problem-solving skills, with a demonstrated ability to understand hierarchical data relationships and identify logic gaps
  • Execution: Self-starter mindset with the ability to manage multiple priorities independently across different timescales
  • Communication: Exceptional written and oral communication skills, * BI Tools: Proficiency in at least one major business intelligence tool (e.g., Google DataStudio, Power BI, Tableau)
  • Cloud Infrastructure: Practical experience working within major cloud environments such as AWS, GCP, or Azure
  • Client-Facing Skills: Excellent analytical capabilities combined with strong, professional customer-facing communication skills and attention to detail

Benefits & conditions

  • Compensation: €60,000 to €80,000 per annum, commensurate with experience

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