At a Glance
- Tasks: Design and maintain efficient data pipelines using Spark, Scala, and AWS.
- Company: Join a dynamic international team at IT Partner España.
- Benefits: Competitive salary, hybrid work model, and continuous training in cloud technologies.
- Other info: Exciting opportunities for professional growth and agile methodologies.
- Why this job: Make an impact in Big Data projects while growing your skills in a collaborative environment.
- Qualifications: 2-3 years of Big Data experience with strong knowledge of Spark, Scala, and AWS.
The predicted salary is between 30000 - 41000 £ per year.
Ubicación: España (modelo remoto)
Rango salarial: hasta 37.000€ anuales (SBA máximo)
Idioma: Inglés fluido
Incorporación: Inmediata
Descripción del puesto
En IT Partner España, buscamos un Data Engineer con experiencia sólida en entornos Big Data para incorporarse a un equipo internacional ubicado en Santander (UK). El perfil participará en proyectos de transformación de datos en la nube, trabajando con tecnologías de última generación en un entorno ágil y colaborativo.
Responsabilidades
- Diseñar, desarrollar y mantener pipelines de datos eficientes y escalables.
- Integrar y procesar grandes volúmenes de información utilizando Apache Spark y Scala.
- Implementar soluciones en entornos AWS.
- Gestionar y optimizar flujos de datos con Apache Kafka.
- Colaborar con equipos multidisciplinares para garantizar la calidad y disponibilidad de los datos.
- Documentar y automatizar procesos para mejorar la eficiencia del ecosistema de datos.
Requisitos
- Experiencia demostrable (mínimo 2-3 años) en proyectos de Big Data.
- Dominio de Spark y Scala.
- Conocimientos sólidos en AWS (S3, Lambda, Glue, EMR, etc.).
- Experiencia con Kafka y procesamiento de datos en tiempo real.
- Conocimientos de Python para scripting o integración de pipelines.
- Nivel de inglés fluido (entorno de trabajo internacional).
Se valorará
- Certificaciones en AWS o Big Data.
- Experiencia en metodologías ágiles (Scrum / Kanban).
- Familiaridad con herramientas CI/CD (Jenkins, GitLab, etc.).
Ofrecemos
- Contrato estable en proyecto internacional.
- Salario competitivo acorde a la experiencia (hasta 37.000 £ SBA).
- Modelo de trabajo híbrido en Santander (UK).
- Entorno dinámico con oportunidades de crecimiento profesional.
- Formación continua en tecnologías cloud y big data.
Data Engineer – Spark / Scala / AWS / Kafka (Santander, UK) employer: IT Partner
At IT Partner España, we pride ourselves on being an excellent employer, offering a dynamic work environment in Santander that fosters collaboration and innovation. Our commitment to employee growth is reflected in our continuous training opportunities in cutting-edge cloud and big data technologies, alongside a competitive salary and a hybrid working model that promotes work-life balance. Join us to be part of an international team where your contributions are valued and your career can thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer – Spark / Scala / AWS / Kafka (Santander, UK)
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like IT Partner!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer – Spark / Scala / AWS / Kafka (Santander, UK) at IT Partner.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like IT Partner.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer – Spark / Scala / AWS / Kafka (Santander, UK) at IT Partner, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Engineer – Spark / Scala / AWS / Kafka (Santander, UK)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at IT Partner, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at IT Partner. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at IT Partner
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at IT Partner!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
