Data Engineer

Data Engineer

Reading Temporary Home office possible
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At a Glance

  • Tasks: Lead data transformation, build pipelines, and model data in a collaborative environment.
  • Company: Join a dynamic team focused on innovative data solutions and impactful projects.
  • Benefits: Enjoy remote work flexibility and competitive pay of Β£500-Β£550 per day.
  • Why this job: Make a difference with policing data while enhancing your skills in a supportive culture.
  • Qualifications: Experience with Azure Data Factory, Databricks, Synapse, and Oracle is essential.
  • Other info: This is a 3-month contract with potential for extension; NPPV3 and SC clearance required.

Job Details:

  • 500-550 per day
  • Outside IR35
  • Remote role
  • 3-month contract with potential for extension
  • NPPV3 and SC clearance required

Skills:

  • Extensive experience in Azure Data Factory, Databricks and Synapse
  • Knowledge of Oracle
  • Understanding of security protocols, dealing with policing data and clearance requirements

Responsibilities:

  • Strong collaboration skills with other teams and colleagues within the organisation
  • Ability to communicate effectively with non-technical and junior colleagues
  • Taking a leading role in data transformation, building data pipelines and data modelling

If you are interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn’t quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.

Data Engineer employer: Hays Technology

As a Data Engineer with us, you'll thrive in a dynamic remote work environment that champions collaboration and innovation. We offer competitive daily rates, opportunities for professional growth, and a culture that values your contributions while ensuring compliance with security protocols. Join us to make a meaningful impact in the data landscape while enjoying the flexibility of remote work.
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Contact Detail:

Hays Technology Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Data Engineer

✨Tip Number 1

Familiarise yourself with Azure Data Factory, Databricks, and Synapse. Consider building a small project or contributing to an open-source one that showcases your skills in these areas, as practical experience can really set you apart.

✨Tip Number 2

Brush up on your knowledge of Oracle databases. Understanding how to integrate and manage data within Oracle will be crucial, so consider taking a quick online course or reviewing documentation to solidify your expertise.

✨Tip Number 3

Since the role requires NPPV3 and SC clearance, start gathering any necessary documentation or references that may expedite this process. Being proactive about your clearance can demonstrate your commitment and readiness for the role.

✨Tip Number 4

Practice your communication skills, especially when explaining technical concepts to non-technical colleagues. You might want to prepare some examples of how you've successfully collaborated with diverse teams in the past, as this will be key in the interview.

We think you need these skills to ace Data Engineer

Azure Data Factory
Databricks
Azure Synapse
Oracle Database
Data Transformation
Data Pipeline Development
Data Modelling
Security Protocols
Collaboration Skills
Effective Communication
Problem-Solving Skills
Attention to Detail
Adaptability
NPPV3 Clearance
SC Clearance

Some tips for your application 🫑

Tailor Your CV: Make sure your CV highlights your extensive experience with Azure Data Factory, Databricks, and Synapse. Include specific projects or achievements that demonstrate your skills in these areas.

Highlight Relevant Skills: Emphasise your knowledge of Oracle and understanding of security protocols, especially in relation to policing data and clearance requirements. This will show that you meet the job's essential criteria.

Showcase Collaboration and Communication: In your application, provide examples of how you've successfully collaborated with teams and communicated effectively with non-technical colleagues. This is crucial for the role.

Craft a Strong Cover Letter: Write a cover letter that not only summarises your qualifications but also expresses your enthusiasm for the role. Mention your ability to take a leading role in data transformation and building data pipelines.

How to prepare for a job interview at Hays Technology

✨Showcase Your Technical Skills

Make sure to highlight your extensive experience with Azure Data Factory, Databricks, and Synapse during the interview. Be prepared to discuss specific projects where you utilised these tools and the impact they had on data transformation and pipeline building.

✨Understand Security Protocols

Since the role involves dealing with policing data and requires NPPV3 and SC clearance, demonstrate your understanding of security protocols. Be ready to explain how you've handled sensitive data in previous roles and the measures you took to ensure compliance.

✨Communicate Effectively

Given the need to collaborate with non-technical and junior colleagues, practice explaining complex concepts in simple terms. This will show your ability to bridge the gap between technical and non-technical team members, which is crucial for this role.

✨Prepare for Scenario-Based Questions

Expect scenario-based questions that assess your problem-solving skills in data modelling and pipeline construction. Think of examples from your past experiences where you faced challenges and how you overcame them, as this will demonstrate your practical knowledge and leadership abilities.

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