Role Description Du willst die Energiewende nicht nur diskutieren, sondern aktiv mit Code vorantreiben? Wir bei init Energy entwickeln die smarte Logik für intelligente Energiemanagement-Systeme. Kurz gesagt: Wir schreiben Algorithmen, die Batteriespeicher, E-Autos und flexible Stromverbraucher so steuern, dass sie möglichst kosteneffizient und netzdienlich arbeiten. Um unser Team zu unterstützen, suchen wir ein analytisches Talent, das Lust hat, Mathematik, Python und echte Marktdaten zusammenzubringen! Du musst noch kein Profi für Strommärkte sein – wir bringen dir das Fachwissen bei. Wichtig ist, dass du gerne knobelst und systematisch denkst. - Modellierung & Use Cases: Du hilfst uns, intelligente optimierungs Strategien und physikalische Systeme in Python-Modellen abzubilden. - Simulation & Testing: Du testest unsere Algorithmen mit echten, historischen Strompreis-Daten und Lastprofilen. - Datenanalyse: Du wertest Zeitreihen aus und hilfst uns, die perfekte Balance zu finden (z.B.: Wie maximieren wir Ersparnisse, ohne die Batterie zu stark abzunutzen?). - Troubleshooting: Gemeinsam im Team suchen wir nach Fehlern im Code oder unerwünschten Nebeneffekten im System und machen unsere Algorithmen jeden Tag ein bisschen besser. Qualifications - Du studierst Informatik, Mathematik, Physik, Energietechnik oder einen ähnlichen analytischen Studiengang. - Du hast gute Programmierkenntnisse in Python (besonders wichtig: pandas und NumPy). - Du hast Spaß daran, analytische Rätsel zu lösen und baust lieber ein sauberes Modell, als eine „Quick & Dirty"-Lösung zu basteln. - Bonus (kein Muss!): Du hast schon mal von linearer Optimierung gehört (z.B. cvxpy) oder interessierst dich für erneuerbare Energien und Strommärkte. Benefits - Deep Tech & Echter Impact: Keine langweiligen Standard-Aufgaben. Du arbeitest am Kern unseres Produkts und dein Code hilft dabei, erneuerbare Energien profitabel zu machen. - Steile Lernkurve: Du lernst extrem viel über Optimierungsmodelle und den Energiemarkt der Zukunft. - Maximale Flexibilität: Wir wissen, dass dein Studium vorgeht. Arbeitszeiten passen wir flexibel an deinen Vorlesungsplan und deine Klausurenphasen an.

Role Description We are looking for a Principal, Data Analyst seeking to work with our clients to shape business and data strategy. You are highly analytical and excited about applying a quantitative framework to business problems through: - Performing analysis - Data mining - Predictive modeling - Business forecasting - Applied statistics You are comfortable with presenting your approach to Product Managers, Engineers, Marketing, Sales, Finance and working with them to execute a data-driven business process. At DEPT®, we pride ourselves on our pragmatic, engineering approach to making data work for the business. Qualifications - Expertise in applications of experimentation and measurement - Data-driven curiosity that leads to deep, meaningful, and actionable insights for our clients - A vision for reusable, scalable data pipelines and models as well as the skill to execute on building them - Compelling and cohesive storytelling that applies analytics to convince clients and DEPTsters on tactical decisions - Clear communication of context, recommendations, and rationale to relevant internal and/or external stakeholders to drive buy-in - A client delivery mindset with the ability to ensure that work being done is maximizing client value - Awareness of industry trends and how they affect our work Requirements - 5+ years of applied analytics in sales, finance, marketing, product, engineering - 5+ years of discovery and assessment of a client’s data portfolio, data tools, and data applications - 3+ years of data management and consulting experience - Experience with cloud platforms such as AWS, GCP, Azure to use/deploy analytics solutions - Strong working knowledge of SQL. NoSQL is a plus - Experience in at least one or more languages for applied statistics, data analysis, and machine learning - Python, R, Matlab, SPSS - Manage a data ecosystem including ETL, data governance, reporting and insights - Ability to take a project from RFP/SOW/BRD to delivery: project management, requirements gathering, data architecture, workflow management, quality assurance, reporting and visualization, presentation - Interest in mentoring junior colleagues on process, analysis, deliverables, client communication, and management skills Benefits - Healthcare, Dental, and Vision coverage - 401k plan, plus matching - PTO - Paid Company Holidays - Parental Leave

Role Description We are seeking a passionate Senior Data Engineer for the regional Data Team. This role requires you to design, develop and implement a cloud-based Data Warehouse, architect data ingestion from diverse sources into a central platform, write performant SQL, build and optimize ETL/ELT pipelines with dbt, tune and debug the DWH, and partner closely with Data Analytics, Data Science, and business stakeholders across our Financing and Payments products. As a senior member of the team, you will be expected to lead technical initiatives end-to-end and mentor other engineers. - Design, develop and maintain scalable, production-grade data pipelines and build new API integrations to support growing data volume and complexity across our lending and payments products. - Build and maintain modular, tested, and well-documented data transformation models using dbt on top of Snowflake. - Lead high-impact data platform initiatives end-to-end-- from scoping and technical design through delivery, monitoring, and iteration. - Collaborate with analytics, data science, and business teams to evolve data models that power BI tools, regulatory reporting, and data-driven decision making across the organization. - Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of sources using SQL, Snowflake, dbt, and AWS big data technologies. - Partner with Executive, Product, Risk, Finance, and Engineering stakeholders to resolve data-related technical issues and support their data infrastructure needs. - Champion data quality, governance, lineage, and cost efficiency across the data platform. - Mentor junior and mid-level data engineers through code reviews, design reviews, and knowledge sharing. Qualifications - Bachelor's or Master's degree in a technical or business discipline, or equivalent practical experience. - 6+ years of hands-on experience managing data platforms, data tools, and/or data management technologies, with demonstrated progression into senior or lead responsibilities. - Prior experience working in Payments, Lending, Banking, or Financial Technology environments, with a solid understanding of financial data concepts (e.g. transactions, ledgers, reconciliation, settlement, disbursement, repayment lifecycles). - Strong grasp of the business context of a Fintech / Financial Technology Platform -- including regulatory reporting needs, data sensitivity, auditability, and how data powers credit, risk, and operations decisions. - Advanced SQL expertise and deep experience with relational databases and query optimization. - Proven experience building and optimizing big data pipelines, architectures, and datasets on Snowflake and AWS (e.g. S3, Glue, Lambda, IAM, MWAA). - Hands-on production experience with dbt (data build tool) -- including model design, testing, documentation, macros, and deployment workflows. - Experience with orchestration tools such as Airflow / MWAA , ideally integrated with dbt in production. - Track record of leading multiple high-impact data projects , from technical design through stakeholder alignment, delivery, and post-launch optimization. - Experience performing root cause analysis on data and processes to answer business questions and identify opportunities for improvement. - Exposure to data visualization tools (Qlik, Tableau, Looker, Metabase, Sisense, etc.). - Familiarity with data warehouse design patterns, dimensional modeling, and data governance practices. - Proficiency in Python (strongly preferred; Java, Scala, or JavaScript also welcome). - Working knowledge of Git/GitHub and JIRA. Requirements - A "build-test-measure-improve" mentality, with the drive to motivate teams and deliver impactful outcomes. - Passion for operational efficiency, quantitative performance metrics, and process orientation. - Strong ownership mindset -- able to drive initiatives independently while keeping stakeholders aligned. - Working knowledge of project planning methodologies, IT standards, and engineering best practices. - Customer passion, business focus, and the ability to negotiate, facilitate, and build consensus across cross-functional teams. - Ability to promote a collaborative team environment across multiple agile squads and regional stakeholders. - Experience with Agile software development methodologies. - Comfortable operating in a regional, multi-country setup across Southeast Asia. Benefits - Time off - We would love you to take time off to rest and rejuvenate. We offer flexible paid vacations as well as many other observed holidays by country. We also like to have our people take a day off for special days like birthdays and work anniversaries. - Flexible working - We believe in giving back the control of work & life to our people. We trust our people and love to provide the space to accommodate each and everyone's working style and personal life. - Medical benefits - We offer health insurance coverage for our employees and dependents. Our people focus on our mission knowing we have their backs for their loved ones too. - Mental health and wellness - We understand that our team productivity is directly linked to our mental and physical health. Hence we organize org-wide fitness initiatives and engage partners to provide well-being coaching. - Tech support - We provide a company laptop for our employees and the best possible support for the right equipment/tools to enable high productivity.

Intetics Inc., a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and «all-things-digital» solutions, is looking for an Incident Editorial Specialist to join our dynamic team. Join our night shift editorial team and work on real-time traffic incident editing for a global mapping platform. No prior experience required — we provide full training. It’s a great way to start your career in IT and gain experience on international projects. This is a full-time, remote role. You’ll work with English-language data, applying clear rules and maintaining focus during night shifts..   Responsibilities: - B1+ level English proficiency - High attention to detail, especially under time pressure - Confident working with multiple tabs/windows, fast typing - Punctual, focused, and reliable — essential for night shift work