Junior Data Engineer
Remote job
Addepto
We specialize in delivering custom-made AI solutions and Machine Learning services tailored to meet even the most niche industries.Addepto is a leading consulting and technology company specializing in AI and Big Data, helping clients deliver innovative data projects. We partner with top-tier global enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. Our exclusive focus on AI and Big Data has earned us recognition by Forbes as one of the top 10 AI companies.
As a Junior Data Engineer, you will have the exciting opportunity to work with a team of technology experts on challenging projects across various industries, leveraging cutting-edge technologies. Here are some of the projects we are seeking talented individuals to join:
Data Platform Migration and Modernization. This project migrates an organization's on-premises data platform (SQL Server, SSIS, SSAS, SSRS, C#) to a scalable Azure cloud solution (Azure Data Factory, Azure SQL Database, Azure Analysis Services, Azure Functions, Power BI). The role involves migration, legacy system maintenance, and new feature development, delivering a modernized, high-performance data infrastructure.
Data Platform Transformation for energy management association body. This project addressed critical data management challenges, boosting user adoption, performance, and data integrity. The team is implementing a comprehensive data catalog, leveraging Databricks and Apache Spark/PySpark, for simplified data access and governance. Secure integration solutions and enhanced data quality monitoring, utilizing Delta Live Table tests, established trust in the platform. The intermediate result is a user-friendly, secure, and data-driven platform, serving as a basis for further development of ML components.
🚀 Your main responsibilities:
Design, develop, and optimize Business Intelligence solutions to support data-driven decision-making, focusing on Power BI dashboards and reports.
Build and manage data processing workflows and ETL/ELT pipelines using SQL Server (SSIS, SSAS, SSRS) and Azure Data Factory.
Create and maintain advanced Power BI reports and interactive dashboards, enabling business users to derive actionable insights.
Work with Azure Analysis Services and SQL Server Analysis Services (SSAS) to design and manage analytical models.
Automate and enhance data transformation processes using Python and C#.
Collaborate with stakeholders to gather requirements, ensuring alignment between business needs and technical solutions.
Contribute to the development of cloud-based workflows and pipelines using Azure Functions (Python).
Ensure data quality, governance, and security across BI and data engineering solutions.
Support advanced data analytics initiatives with opportunities to explore Data Engineering concepts and technologies.
Requirements
🎯 What you’ll need to succeed in this role:
At least 1.5 years of commercial experience as a Power BI Developer or similar role in Business Intelligence.
Proficiency in Power BI, including creating dashboards, managing datasets, and building data models.
Hands-on experience with SQL Server stack (Database, SSIS, SSAS, SSRS).
Familiarity with Azure Data Factory, Azure SQL Database, and Azure Analysis Services.
Solid understanding of data modeling techniques and dimensional data design.
Programming skills in Python and C# for automating data workflows.
Experience deploying and managing solutions in Azure or other cloud environments.
A proactive approach, strong problem-solving skills, and the ability to work independently.
Excellent communication skills and the ability to engage directly with stakeholders.
A Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or a related field.
⭐️ What will make you stand out:
Expanding your role towards Data Engineering, including advanced data pipeline design and cloud-based data solutions.
Experience with large-scale datasets and optimization of data processing workflows.
Knowledge of data governance, data security, and best practices in cloud-based data management.
🎁 Discover our perks & benefits:
Work in a supportive team of passionate enthusiasts of AI & Big Data.
Engage with top-tier global enterprises and cutting-edge startups on international projects
Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces
Accelerate your professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences.
Choose from various employment options: B2B, employment contracts, or contracts of mandate.
Make use of 20 fully paid days off available for B2B contractors and individuals under contracts of mandate.
Participate in team-building events and utilize the integration budget.
Celebrate work anniversaries, birthdays, and milestones.
Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching.
Get full work equipment for optimal productivity, including a laptop and other necessary devices.
With our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups.
Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Azure Big Data Business Intelligence Computer Science Consulting Data Analytics Databricks Data governance Data management Data quality ELT Engineering ETL Machine Learning Mathematics Pipelines Power BI PySpark Python Security Spark SQL SSIS
Perks/benefits: Career development Conferences Gear Startup environment Team events
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