Remote Tech Hiring at Mobilyze

We’re Mobilyze (About us):

We’re a tech-powered consultancy that speeds up the electrification of transport. We help our clients maximize the utilization of their charge points by analyzing market trends, scouting for locations, evaluating their potential, and optimizing their performance and operations.

What we provide:

• Extremely dynamic environment (we plan to grow the team from 6 to ~30 in a year or so; YoY revenue growth in hundreds of percent).
• Strict no BS policy, and NO micro-management.
• Virtually unlimited potential for creativity and personal growth.
• Work with a stellar team with unparalleled experience and knowledge in the field.
• Complete autonomy, you are the expert in your field and you need to tell us what to do. We are depending on you.
• Monthly compensation EUR 2,000 – 4,000 based on experience and ability to deliver.
• A fully remote work environment with a flexible working schedule.
• Unlimited vacation.

We’re Hiring for the following roles

 

1) Front-end Developer (Remote)

We are seeking a highly skilled and innovative Front-End Developer to join our dynamic team. The ideal candidate will be responsible for designing, developing, and deploying sophisticated web applications, with a particular focus on Single Page Applications (SPA) that include dynamic mapping capabilities.

This role requires a deep understanding of front-end technologies and frameworks, as well as the ability to design and implement complete solutions that can be deployed on cloud platforms such as AWS and GCP.

Job Description and Responsibilities: 

• Develop and maintain dynamic Single Page Applications (SPA) that feature complex mapping functionalities, including the display of various shapes such as H3 grids and isochrones.
• Package and deploy full applications, ensuring they are ready for deployment on cloud platforms like AWS and GCP.
• Design and implement complete front-end solutions from the ground up, considering both functionality and aesthetics.
• Extend existing Kepler.gl implementations to incorporate specific functionalities tailored to project requirements.
• Rewrite and optimize customer-facing pages to efficiently load data from JSON sources using REST API techniques.
• Collaborate closely with backend developers and UI/UX designers to ensure seamless integration and user experience.
• Stay abreast of emerging technologies and industry trends to apply them in projects as appropriate.

Job Requirements: 

• Minimum of 5+ years of experience in complex front-end application development. Preferably within the Geolocation/Geospatial projects.
• Proficiency in React and Redux for scalable front-end development.
• Experience with Deck.gl for advanced geospatial visualizations.
• Familiarity with Webpack and Babel for efficient code bundling and transpilation.
• Deep knowledge of Typescript and JavaScript languages.
• Good knowledge of styling languages CSS or/and SCSS/SASS or similar
• Solid understanding of REST API for seamless data integration and manipulation.
• Experience with cloud services, particularly AWS, for hosting and managing applications.
• Knowledge of authentication and authorization techniques, including JWT, to ensure secure access to application features.
• Experience with graph visualization libraries to represent complex data structures visually.
• Excellent problem-solving skills and attention to detail.
• Good communication skills in English, team contributor, and ability to work within the EU timezone.

Core Skills and Competencies: 

• Mapbox and Leaflet
• React + Redux
• Next.js
• CSS, SCSS, SASS
• Deck.gl
• Webpack
• Babel
• Typescript and JavaScript
• REST API
• AWS
• Authentication and Authorisation techniques (e.g. using JWT)
• Graph Visualisation Libraries

Apply Here

 

2) Data Scientist and Analyst

We are seeking a highly skilled and motivated Data Scientist and Analyst to join our team in the Electric Vehicle (EV) industry. As a Data Scientist and Analyst, you will play a crucial role in analyzing EV-related data, extracting insights, and driving data-informed decision-making.

Your work will contribute to understanding market trends, optimizing EV charging stations, and identifying opportunities for growth and innovation.

Job Responsibilities:

Data Analysis and Modeling:

• Apply advanced statistical and machine learning techniques to analyze large datasets related to EV charging stations, EV usage patterns, and market trends.
• Identify and interpret relevant variables, relationships, and patterns within the data to generate actionable insights.
• Develop predictive models to forecast EV charging demands, optimize station locations, and improve charging infrastructure efficiency.

Reporting and Visualization:

• Create and present comprehensive reports and dashboards to communicate data-driven insights to stakeholders, management, and other teams.
• Utilize data visualization tools and techniques to effectively present complex data in a clear and visually appealing manner.
• Collaborate with cross-functional teams to develop interactive data visualizations and interactive tools for monitoring EV charging station performance and market trends.

Data Collection and Integration:

• Identify and acquire relevant data sources, including geospatial, telco, and other datasets, to enrich the analysis and provide a comprehensive understanding of the EV industry.
• Collaborate with data engineering teams to ensure efficient data collection, data integration, and data quality management processes.

Hypothesis Testing and Experimentation:

• Analyze business problems and requirements to formulate hypotheses and design experiments.
• Develop proof of concepts (POCs) to test and validate potential solutions, assess their feasibility, and provide recommendations for implementation.

Continuous Improvement and Research:

• Stay up to date with the latest developments in the EV industry, data science, and statistical analysis techniques.
• Proactively explore new data sources, technologies, and methodologies to enhance data analysis capabilities and improve EV-related insights.

Core Skills and Competencies of this role: 

• Proficiency in Programming Languages in Python and “R”.
• Data Manipulation and Analysis are mainly/preferred with SQL.
• Statistical Analysis and Machine Learning.
• Data Visualization (Tableau, Power BI, Matplotlib, and Seaborn).
• Geospatial Analysis (GIS, ArcGIS, QGIS, or GeoPandas).
• Data Integration and ETL (Talend, Informatica, or Apache NiFi).
• Cloud Computing (Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure).

Job Requirements: 

• Excellent communication, and Presentation skills (speaking, reading and writing).
• Proven experience as a Data Scientist or Data Analyst, preferably in the EV industry or related domains.
• Strong proficiency in statistical analysis, data modeling, and machine learning techniques.
• Proficiency in programming languages such as Python or R for data manipulation, analysis, and visualization.
• Experience with data visualization tools such as Tableau, Power BI, or matplotlib.
• Familiarity with geospatial data analysis, telco data analysis, and data integration techniques.
• Excellent problem-solving skills and the ability to analyze complex data to derive meaningful insights.
• Strong communication skills with the ability to effectively present technical concepts to both technical and non-technical stakeholders.
• Ability to work collaboratively in cross-functional teams and manage multiple projects with competing priorities.

Apply Here

 

3) Data Engineer

We are looking for an experienced Senior Data Engineer with a strong background in geolocation, mapping, and location technology. The ideal candidate will be responsible for designing, developing, and maintaining robust and scalable data infrastructure to support our geospatial applications and services.

The Senior Data Engineer will work closely with cross-functional teams to ensure the efficient and effective processing of geospatial data, enabling the delivery of high-performance location-based solutions.

Job Description and Responsibilities: 

• Design and implement scalable and efficient data architectures for geospatial data processing.
• Develop and maintain data models to support geolocation and mapping requirements.
• Implement ETL processes to ingest, transform, and load geospatial data from various sources.
• Integrate third-party geolocation and mapping services into our data infrastructure.
• Optimize data processing pipelines for performance, ensuring timely and accurate geospatial data delivery.
• Conduct performance tuning and troubleshooting of data infrastructure components.
• Establish and enforce data quality standards for geospatial datasets.
• Implement data governance practices to ensure the integrity and security of location-based data.
• Collaborate with cross-functional teams, including software developers, data scientists, and product managers, to understand data requirements.
• Communicate effectively with stakeholders to convey complex geospatial concepts and technical solutions.
• Perform any other tasks when assigned.

Job Requirements: 

• Proven experience of 5+ years in data engineering with a focus on geolocation, mapping, or location technology.
• Proficiency in programming languages such as Python, or any other related tools.
• Strong expertise in designing and optimizing data processing pipelines.
• Experience with geospatial databases (e.g., PostGIS, BigQuery, Athena, DuckDB) and geospatial data formats (e.g., GeoJSON, Shapefile).
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
• Fluently in English (speaking, reading, and writing).
• Able to work within the EU time zone.

Core Skills and Competencies: 

• Data Architecture and Modeling
• Data Processing and Integration
• Optimization and Performance
• Data Quality and Governance
• Project Management
• Strong Analytical Skills
• Excellent Communication Skills

Apply Here