Data Engineer

Data Engineer

Slough Full-Time No home office possible
Arrows

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 already use.
  • Benefits: Enjoy a competitive daily rate and flexible contract terms outside IR35.
  • Why this job: This role offers hands-on experience with cutting-edge technologies in a dynamic environment.
  • Qualifications: Proficiency in Python, SQL, AWS, and dbt is essential; Spark/Scala knowledge is a bonus.
  • Other info: This is a 6-month contract with an immediate start in London.

Join an enterprise B2B FinTech as a Senior Data Consultant

You\’ll lead the technical interviewing process for FTE Engineers, lead strategic and technical initiatives, review PRs, code reviews and more.

Ideally you\’ll have worked in FinTech before.

Start ASAP!

Skills (must have) – Python, SQL, GCP (BigQuery), Dagster, Airbyte

3 months

Inside IR35

£550-£600 per day

Remote, UK

Data Engineer employer: Arrows

Join a renowned enterprise in the heart of 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 contract role, this position offers not only a chance to work with cutting-edge technologies like Python, SQL, and AWS but also an opportunity for professional growth in a vibrant work culture that encourages creativity and development. Experience the unique advantage of working in a well-known company that is committed to making a significant impact in the B2C sector.
Arrows

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 online tutorials or courses that can help you learn how to use these tools 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 to connect with potential colleagues and learn more about industry trends.

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 🫡

Understand the Role: Familiarise yourself with the responsibilities of a Data Engineer. Highlight your experience with Python, SQL, AWS, dbt, and Airflow in your application to show you meet the requirements.

Tailor Your CV: Customise your CV to reflect your relevant skills and experiences. Emphasise projects where you've used the required technologies, especially if you've worked with Spark or Scala.

Craft a Compelling Cover Letter: Write a cover letter that connects your background to the job description. Mention your enthusiasm for working with a well-known enterprise B2C company and how you can contribute to their data engineering needs.

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

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 Engineers often face complex challenges. Prepare examples from your past work where you've successfully solved data-related issues. This will demonstrate your analytical thinking and ability to handle real-world problems.

✨Understand the Company’s Data Needs

Research the enterprise B2C company you'll be interviewing with. Understand their data infrastructure and how your role as a Data Engineer can contribute to their goals. This shows your genuine interest in the position and the company.

✨Prepare Questions for Your Interviewers

Having insightful questions ready can set you apart from other candidates. Ask about the team dynamics, the tools they use, or the challenges they face. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.

Data Engineer
Arrows
Location: Slough

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