Data Engineer(Intern)

About Tech PhoenixTech Phoenix is a data science and AI startup that delivers cutting-edge solutions to clients across industries. We take on challenging projects ranging from advanced analytics and machine learning to AI-driven automation, helping businesses unlock the full potential of their data. As a growing company, we're constantly pushing boundaries with the latest technologies and are now looking to expand our team with a motivated Data Engineer Intern who wants to work on real client projects from day one.Why Join Us?At Tech Phoenix, you won't be doing busywork. As a startup, we move fast and give our team members real responsibility early on. You'll work directly on client projects, gain exposure to diverse industries and use cases, and develop skills that matter in today's data-driven world. If you're looking for an internship where you can make a genuine impact while learning from experienced professionals, this is it .Role OverviewAs a Data Engineer Intern, you'll play a hands-on role in designing, building, and maintaining scalable data pipelines and systems for our clients. Working primarily on Databricks, you'll help transform raw data into actionable insights that drive business decisions. This is an excellent opportunity for someone looking to gain real-world experience in a fast-paced, remote-first startup environment.What You'll DoDesign and develop efficient, scalable data pipelines using DatabricksBuild and maintain ETL processes to integrate data from multiple sourcesCreate and optimize data models and warehouse structuresSupport analytics and AI initiatives by preparing clean, reliable datasetsCollaborate with team members and clients to identify data needs and deliver solutionsDocument processes, pipelines, and data flows for future referenceTroubleshoot and resolve data quality issues as they ariseContribute to client-facing projects and learn how real-world data solutions are deliveredWhat We're Looking ForRequired SkillsSolid understanding of data engineering principles and data modelingHands-on experience with ETL processes and data warehousingStrong proficiency in SQL and relational databasesWorking knowledge of DatabricksFamiliarity with Azure and AWS cloud platformsExperience with Python and PyCharm (or similar IDEs)Ability to analyze large datasets and extract meaningful insightsStrong problem-solving skills with excellent attention to detailSoft SkillsSelf-motivated with the ability to work independently in a remote settingAdaptable and comfortable with changing priorities and tight deadlinesStrong communication skills for remote collaboration with team and clientsLeadership potential, confidence, and integrityEagerness to learn and grow in a startup environmentNice to HaveExperience with big data frameworks (Spark, Hadoop)Familiarity with data visualization tools (Power BI, Tableau)Knowledge of version control systems (Git)Exposure to machine learning workflows or AI projectsPrevious internship or project experience in data engineeringWhat We OfferFully remote position with flexible working hoursHands-on experience with cutting-edge data and AI technologiesDirect involvement in real client projects from the startMentorship and guidance from experienced data professionalA fast-paced startup culture where your contributions truly matterRoom to grow, experiment, and take ownership of your workDuration & Career PathThis internship begins with a 6-month contract. Based on your performance and contributions, there is a clear path to permanent employment. High performers will have the opportunity to lead their own projects and potentially relocate to the Netherlands to work with our core team.CompensationWe offer competitive compensation aligned with the labor laws and market standards of your country of residence. As your role grows and your contributions increase, so will your compensation and position within the company.How to ApplySend us your CV along with a brief cover letter explaining why you're interested in this role and what you can bring to Tech Phoenix. If you have a portfolio, GitHub profile, or examples of past data or AI projects, we'd love to see them.