Data Engineer - SQL and Python

Data Engineer - SQL and Python

Wallington Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Develop and maintain data architectures and solutions while ensuring they meet business needs.
  • Company: Join a forward-thinking organisation focused on enhancing data value and innovation.
  • Benefits: Enjoy remote work flexibility and competitive pay for your skills.
  • Why this job: Be part of a dynamic team, working on impactful projects with cutting-edge technology.
  • Qualifications: 5+ years in SQL and Python, plus a degree in a technical field required.
  • Other info: Initial contract duration is 5 months, with potential for extension.

The predicted salary is between 36000 - 60000 £ per year.

Job Description

Data Engineer – SQL and Python

Location: Remote

Pay: market rate

Duration: 5 months initially

Job Description: The main function of the Data Engineer is to develop, evaluate, test and maintain architectures and data solutions within our organization. The typical Data Engineer executes plans, policies, and practices that control, protect, deliver, and enhance the value of the organization’s data assets.

Job Responsibilities:

  • Design, construct, install, test and maintain highly scalable data management systems.
  • Ensure systems meet business requirements and industry practices.
  • Design, implement, automate and maintain large scale enterprise data ETL processes.
  • Build high-performance algorithms, prototypes, predictive models and proof of concepts.

Technical Skills Required:

  • SQL (5+ years)
  • Python (5+ years)
  • Data Modelling, visualization – Tableau, micro strategy etc and integration tools : Azure data factory , airflow ect. – (5+ years)

Skills:

  • Ability to work as part of a team, as well as work independently or with minimal direction.
  • Excellent written, presentation, and verbal communication skills.
  • Collaborate with data architects, modelers and IT team members on project goals.
  • Strong PC skills including knowledge of Microsoft SharePoint.

Education/Experience:

  • Bachelor's degree in a technical field such as computer science, computer engineering or related field required.
  • Process certification, such as, Six Sigma, CBPP, BPM, ISO 20000, ITIL, CMMI."

Data Engineer - SQL and Python employer: Atrium Workforce Solutions Ltd

As a Data Engineer at our organisation, you will thrive in a dynamic remote work environment that champions innovation and collaboration. We offer competitive pay, a culture that prioritises professional growth, and opportunities to work on cutting-edge data solutions that make a real impact. Join us to enhance your skills while contributing to meaningful projects alongside a talented team dedicated to excellence.
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Contact Detail:

Atrium Workforce Solutions Ltd Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Engineer - SQL and Python

✨Tip Number 1

Familiarise yourself with the specific tools and technologies mentioned in the job description, such as SQL, Python, and data integration tools like Azure Data Factory. Having hands-on experience or projects showcasing these skills can set you apart.

✨Tip Number 2

Network with current or former Data Engineers, especially those who have worked in similar roles. Engaging in conversations about their experiences can provide valuable insights and potentially lead to referrals.

✨Tip Number 3

Prepare for technical interviews by practising common data engineering problems and scenarios. Being able to demonstrate your problem-solving skills in SQL and Python during discussions can significantly boost your chances.

✨Tip Number 4

Showcase your ability to work collaboratively by highlighting any past experiences where you successfully collaborated with teams on data projects. This will resonate well with our emphasis on teamwork in the role.

We think you need these skills to ace Data Engineer - SQL and Python

SQL (5+ years)
Python (5+ years)
Data Modelling
Data Visualisation (e.g., Tableau, MicroStrategy)
ETL Process Design and Automation
Azure Data Factory
Apache Airflow
Algorithm Development
Predictive Modelling
Collaboration Skills
Communication Skills
Problem-Solving Skills
Technical Documentation
Microsoft SharePoint Knowledge
Process Improvement Methodologies (e.g., Six Sigma, ITIL)

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with SQL and Python, as well as any relevant data management systems you've worked with. Use specific examples to demonstrate your skills in designing and maintaining data architectures.

Craft a Strong Cover Letter: In your cover letter, explain why you're interested in the Data Engineer position and how your background aligns with the job responsibilities. Mention your experience with ETL processes and any tools like Azure Data Factory or Airflow that you have used.

Showcase Technical Skills: Clearly list your technical skills related to data modelling, visualisation tools, and any process certifications you hold. This will help the hiring team see your qualifications at a glance.

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 role.

How to prepare for a job interview at Atrium Workforce Solutions Ltd

✨Showcase Your Technical Skills

Make sure to highlight your experience with SQL and Python during the interview. Be prepared to discuss specific projects where you've used these skills, as well as any challenges you faced and how you overcame them.

✨Demonstrate Problem-Solving Abilities

Data Engineers often encounter complex problems. Prepare to discuss how you've approached problem-solving in past roles, particularly in designing and maintaining data management systems. Use examples that showcase your analytical thinking.

✨Communicate Clearly

Since excellent communication skills are essential for this role, practice explaining technical concepts in a way that's easy to understand. This will help demonstrate your ability to collaborate effectively with team members and stakeholders.

✨Prepare Questions About the Role

At the end of the interview, you'll likely have the chance to ask questions. Prepare thoughtful questions about the company's data architecture, team dynamics, or future projects. This shows your genuine interest in the position and helps you assess if it's the right fit for you.

Data Engineer - SQL and Python
Atrium Workforce Solutions Ltd
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