Data Engineer

Data Engineer

London Full-Time No home office possible
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At a Glance

  • Tasks: Join a team of Data Engineers to work on exciting data projects.
  • Company: Work with a well-known enterprise B2C company that you likely use.
  • Benefits: Enjoy a competitive daily rate and flexible contract terms.
  • Why this job: Be part of a dynamic team and enhance your skills in a reputable company.
  • Qualifications: Proficiency in Python, SQL, AWS; experience with dbt and Airflow is essential.
  • Other info: This is a 6-month contract outside IR35, with an immediate start.

Overview 2x Data Engineers are sought to join an enterprise B2C client on an initial 6-month contract. ASAP start.Details Location: London / Enfield, United Kingdom (UK-wide scope across the UK & Europe)Type: Contract (6 months)Industries: IT Services and IT Consulting; Consumer ServicesCompany: Arrows AISeniority Mid-Senior levelJob function ConsultingThere are no explicit responsibilities listed in the provided description.

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Data Engineer employer: Arrows

Join a renowned enterprise B2C company in London as a Data Engineer, where you'll be part of a dynamic team that values innovation and collaboration. With competitive daily rates and the flexibility of a 6-month contract outside IR35, this role offers not only excellent financial rewards but also opportunities for professional growth in a vibrant work culture that encourages skill development and creativity.
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Contact Detail:

Arrows Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Engineer

✨Tip Number 1

Make sure to brush up on your Python and SQL skills, as these are essential for the Data Engineer role. Consider working on personal projects or contributing to open-source projects that showcase your expertise in these areas.

✨Tip Number 2

Familiarise yourself with AWS services, especially those related to data processing and storage. Having hands-on experience with AWS can set you apart from other candidates, so try to get some practical experience if you haven't already.

✨Tip Number 3

Gain a solid understanding of dbt and Airflow, as these tools are crucial for managing data workflows. You can find plenty of online tutorials and courses that can help you learn how to use them effectively.

✨Tip Number 4

Network with professionals in the data engineering field, especially those who work with the technologies mentioned in the job description. Attend meetups or webinars, and don't hesitate to reach out on LinkedIn to make connections that could lead to referrals.

We think you need these skills to ace Data Engineer

Proficiency in Python
Strong SQL skills
Experience with AWS services
Familiarity with dbt (data build tool)
Knowledge of Apache Airflow
Understanding of Spark and Scala (bonus)
Data modelling and ETL processes
Problem-solving abilities
Collaboration and teamwork skills
Attention to detail
Ability to work under tight deadlines
Adaptability to new technologies
Strong communication skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in Python, SQL, AWS, and any familiarity with dbt or Airflow. Use specific examples of projects where you've successfully applied these skills.

Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your background aligns with their needs and include any experience with Spark or Scala as a bonus.

Showcase Your Projects: If you have worked on notable data engineering projects, summarise them briefly in your application. Highlight your contributions and the technologies used, especially those mentioned in the job description.

Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Data Engineer.

How to prepare for a job interview at Arrows

✨Brush Up on Your Technical Skills

Make sure you're comfortable with Python, SQL, and AWS, as these are key skills for the role. Be prepared to discuss your experience with dbt and Airflow, and if you have knowledge of Spark or Scala, don't hesitate to mention it!

✨Showcase Your Problem-Solving Abilities

Data engineering often involves tackling complex problems. Be ready to share examples of challenges you've faced in previous roles and how you approached solving them. This will demonstrate your analytical thinking and adaptability.

✨Understand the Company and Its Products

Since you'll be working with a well-known enterprise B2C company, do some research on their products and services. Understanding their business model and how data plays a role can help you tailor your answers and show genuine interest.

✨Prepare Questions for Your Interviewers

Interviews are a two-way street! Prepare insightful questions about the team, projects, and company culture. This not only shows your enthusiasm but also helps you determine if the role is the right fit for you.

Data Engineer
Arrows
Location: London

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