Big Data Developer in England

Big Data Developer in England

England Full-Time 25000 - 32000 € / year (est.) No home office possible
Fortray Global Service Limited

At a Glance

  • Tasks: Support data pipelines and assist in data engineering tasks with hands-on training.
  • Company: Join a dynamic team focused on big data and analytics.
  • Benefits: Competitive entry-level salary, structured training, and career growth opportunities.
  • Other info: Collaborative environment with a commitment to diversity and inclusion.
  • Why this job: Kickstart your career in big data with real projects and mentorship.
  • Qualifications: Basic programming knowledge and a passion for learning big data technologies.

The predicted salary is between 25000 - 32000 € per year.

We are seeking a motivated and technically curious Big Data Developer to join our data engineering team. This is an extreme entry-level opportunity designed for individuals starting their career in big data and analytics. Full training and mentorship will be provided. The role focuses on supporting data pipelines, processing large datasets, and assisting in data engineering tasks.

Key Responsibilities

  • Assist in developing and maintaining basic data pipelines and workflows
  • Support data extraction, transformation, and loading (ETL) processes
  • Work with structured and unstructured datasets under supervision
  • Help maintain data quality, accuracy, and consistency
  • Collaborate with data engineers and analysts on projects
  • Assist in debugging and resolving data-related issues
  • Document workflows, processes, and technical steps
  • Learn and apply big data tools and technologies in real projects

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, IT, or a related field
  • Basic understanding of programming (Python, Java, or similar)
  • Basic knowledge of databases and SQL
  • Strong analytical and problem-solving mindset
  • Willingness to learn big data technologies and tools
  • Good communication and teamwork skills
  • No professional experience required (training provided)

Preferred Qualifications

  • Exposure to basic data concepts or academic projects
  • Familiarity with version control systems such as Git
  • Basic understanding of cloud platforms such as Microsoft Azure or Amazon Web Services
  • Interest in tools like Hadoop, Spark, or Kafka
  • Internship or self-learning in data engineering is a plus

Skills

  • Data Handling & Processing Basics
  • SQL & Database Fundamentals
  • Programming (Python/Java Basics)
  • Analytical Thinking
  • Team Collaboration & Learning Ability

What We Offer

  • Competitive entry-level salary (UK standards)
  • Structured training and mentorship program
  • Hands-on exposure to real big data projects
  • Career growth opportunities in data engineering
  • Collaborative and learning-focused environment

We are an equal opportunity employer committed to diversity and inclusion in the workplace.

Big Data Developer in England employer: Fortray Global Service Limited

Join our dynamic team as a Big Data Developer, where you'll embark on an exciting journey in the world of big data and analytics. We pride ourselves on fostering a collaborative and inclusive work culture that prioritises employee growth through structured training and mentorship, ensuring you gain hands-on experience with cutting-edge technologies. Located in a vibrant area, we offer competitive entry-level salaries and a supportive environment that encourages continuous learning and career advancement.

Fortray Global Service Limited

Contact Detail:

Fortray Global Service Limited Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Big Data Developer in England

Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.

Tip Number 2

Show off your skills! Create a GitHub profile or a personal project showcasing your programming and data handling abilities. This gives potential employers a taste of what you can do beyond your CV.

Tip Number 3

Prepare for interviews by brushing up on common big data concepts and tools. Practice explaining your thought process when solving problems, as this will demonstrate your analytical mindset and willingness to learn.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team.

We think you need these skills to ace Big Data Developer in England

Data Pipeline Development
ETL Processes
Data Quality Maintenance
Structured and Unstructured Data Handling
Programming (Python, Java)
SQL
Analytical Thinking

Some tips for your application 🫡

Tailor Your CV:Make sure your CV reflects the skills and experiences mentioned in the job description. Highlight any relevant coursework or projects that show your understanding of programming, databases, and big data concepts.

Craft a Compelling Cover Letter:Use your cover letter to express your enthusiasm for the role and the company. Share why you're excited about starting your career in big data and how you can contribute to our team at StudySmarter.

Showcase Your Learning Mindset:Since this is an entry-level position, emphasise your willingness to learn and adapt. Mention any self-learning or internships related to data engineering, even if they're informal, to show us your commitment to growth.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our data engineering team!

How to prepare for a job interview at Fortray Global Service Limited

Know Your Basics

Make sure you brush up on your programming fundamentals, especially in Python or Java. Understanding SQL and basic database concepts will also give you a solid foundation to discuss during the interview.

Show Your Curiosity

Since this role is all about learning, demonstrate your eagerness to dive into big data technologies. Talk about any projects or self-learning experiences you've had, even if they're academic. This shows you're proactive and ready to grow.

Prepare for Teamwork Questions

Collaboration is key in this role, so be ready to discuss how you've worked in teams before. Think of examples where you contributed to a group project or helped solve a problem together. It’ll highlight your communication skills and teamwork ability.

Ask Smart Questions

At the end of the interview, don’t forget to ask insightful questions about the team, the projects you'll be working on, or the tools they use. This not only shows your interest but also helps you gauge if the company is the right fit for you.