Senior Data Developer

Senior Data Developer

Birmingham Full-Time 48000 - 72000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead the design and implementation of impactful data solutions for a mission-driven non-profit.
  • Company: Join a dynamic non-profit organisation based in Birmingham with a hybrid working model.
  • Benefits: Enjoy a competitive salary, flexible work arrangements, and a supportive team environment.
  • Why this job: Make a real difference by enhancing data ecosystems that drive positive change.
  • Qualifications: Strong SQL and Python skills, with experience in Azure and ETL processes.
  • Other info: Opportunity to mentor and grow within a high-performing data engineering team.

The predicted salary is between 48000 - 72000 £ per year.

Overview

Senior Data Developer role for a mission-driven, non-profit organisation based in Birmingham. This permanent position offers a hybrid working arrangement, with one day per week in the Birmingham office and the remainder home-based. The role is a 35-hour working week, structured over 9 days every fortnight, with a salary of £60,000.

Responsibilities

  • Lead the design and implementation of data solutions using engineering best practices such as CI/CD, test automation, and infrastructure as code.
  • Contribute to system architecture discussions, support cloud migrations, and work with stakeholders to define and fulfil requirements through impactful data solutions.
  • Mature and enhance the organisation’s data ecosystem to enable teams to produce high-quality, reliable data that meets evolving business needs.
  • Foster a high-performing data engineering team through coaching, mentoring, and the introduction of modern methodologies, tools, and best practices.

Qualifications

  • Strong proficiency in SQL and Python programming.
  • In-depth knowledge of Microsoft Azure cloud services.
  • Proficiency in Object-Oriented Programming using .NET.
  • Proven experience designing and developing robust ETL processes.
  • Understanding of ASP.NET for back-end development.
  • Familiarity with systems integration methodologies.

Employment details

  • Seniority level: Mid-Senior level
  • Employment type: Full-time
  • Job function: Information Technology
  • Industries: Non-profit Organizations

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Senior Data Developer employer: Gravitas Recruitment Group (Global) Ltd

As a mission-driven non-profit organisation based in Birmingham, we pride ourselves on fostering a collaborative and inclusive work culture that prioritises employee well-being and professional growth. With a hybrid working model and a commitment to innovative data solutions, we offer our Senior Data Developers the opportunity to make a meaningful impact while enjoying a flexible work-life balance and access to ongoing training and development resources.
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Contact Detail:

Gravitas Recruitment Group (Global) Ltd Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Developer

✨Tip Number 1

Network like a pro! Reach out to your connections in the data engineering field, especially those who work in non-profits. A friendly chat can lead to insider info about job openings or even a referral.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your best data solutions and projects. This is your chance to demonstrate your SQL and Python prowess, as well as your experience with Azure and ETL processes.

✨Tip Number 3

Prepare for interviews by brushing up on common data engineering questions and scenarios. Think about how you can discuss your experience with CI/CD and cloud migrations in a way that highlights your problem-solving skills.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and engaged with our mission-driven work.

We think you need these skills to ace Senior Data Developer

SQL
Python Programming
Microsoft Azure Cloud Services
Object-Oriented Programming
.NET
ETL Processes
ASP.NET
Systems Integration Methodologies
CI/CD
Test Automation
Infrastructure as Code
Data Engineering
Coaching and Mentoring
Stakeholder Engagement

Some tips for your application 🫡

Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior Data Developer role. Highlight your proficiency in SQL, Python, and Azure, and don’t forget to mention any relevant projects or achievements!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how your background aligns with our mission-driven approach. Keep it engaging and personal!

Showcase Your Technical Skills: In your application, be specific about your technical expertise. Mention your experience with CI/CD, ETL processes, and any cloud migrations you've led. We want to see how you can contribute to our data ecosystem!

Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you get the best chance to showcase your talents!

How to prepare for a job interview at Gravitas Recruitment Group (Global) Ltd

✨Know Your Tech Inside Out

Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these languages, especially in relation to data solutions and ETL processes. This will show that you not only understand the theory but can apply it practically.

✨Familiarise Yourself with Azure

Since the role requires in-depth knowledge of Microsoft Azure cloud services, take some time to review its features and how they relate to data engineering. Be prepared to discuss any previous experience you have with cloud migrations or using Azure in your projects.

✨Showcase Your Leadership Skills

As a Senior Data Developer, you'll be expected to lead and mentor others. Think of examples where you've coached team members or introduced new methodologies. Highlighting your ability to foster a high-performing team will resonate well with the interviewers.

✨Prepare for System Architecture Discussions

The job involves contributing to system architecture discussions, so be ready to talk about your experience in this area. Brush up on best practices in data engineering and be prepared to share your thoughts on how to enhance a data ecosystem effectively.

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