Data Engineer SQL - Remote (m/w/d) in Birmingham

Data Engineer SQL - Remote (m/w/d) in Birmingham

Birmingham Full-Time 50000 - 50000 £ / year (est.) Working from home possible
Harnham - Data & Analytics Recruitment

At a Glance

  • Tasks: Design and deliver end-to-end data engineering solutions on modern cloud platforms.
  • Company: Join a high-growth organisation with exciting greenfield projects.
  • Benefits: Earn up to £60,000 plus a comprehensive benefits package and remote work flexibility.
  • Other info: Engage directly with stakeholders for effective project delivery.
  • Why this job: Take ownership of impactful projects and enhance your skills in a dynamic environment.
  • Qualifications: Proficiency in Python and SQL with experience in data engineering.

The predicted salary is between 50000 - 50000 £ per year.

This is a great opportunity to join a high-growth organisation where you can take ownership of end-to-end data engineering delivery across modern cloud platforms and greenfield projects.

You will take ownership of delivering end-to-end data engineering solutions, working across greenfield projects from initial design through to deployment and optimisation.

  • Designing data solutions from source systems
  • Building and maintaining data ingestion pipelines
  • Developing transformations and data models
  • Managing ongoing optimisation and performance improvements

You will also engage directly with stakeholders and clients, ensuring strong communication throughout project delivery.

  • Advanced Python and SQL development
  • Delivering end-to-end data engineering projects
  • Building scalable cloud-based data solutions

You will receive a salary of up to £60,000 depending on experience, along with a comprehensive benefits package and the flexibility of fully remote working.

Data Engineer SQL - Remote (m/w/d) in Birmingham employer: Harnham - Data & Analytics Recruitment

Join a dynamic and innovative team as a Data Engineer, where you will have the opportunity to lead exciting greenfield projects and make a significant impact on our data engineering delivery. Our fully remote work culture promotes flexibility and work-life balance, while our commitment to employee growth ensures you have access to continuous learning and development opportunities. With a competitive salary and comprehensive benefits package, we strive to create a rewarding environment for all our employees.

Harnham - Data & Analytics Recruitment

Contact Details:

Harnham - Data & Analytics Recruitment Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Engineer SQL - Remote (m/w/d) in Birmingham

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Harnham - Data & Analytics Recruitment!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer SQL - Remote (m/w/d) at Harnham - Data & Analytics Recruitment.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Harnham - Data & Analytics Recruitment.

Apply Directly through Our Website

When you find a suitable opening like Data Engineer SQL - Remote (m/w/d) at Harnham - Data & Analytics Recruitment, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data Engineer SQL - Remote (m/w/d) in Birmingham

SQL
Python
Problem-Solving Skills
Communication Skills
Data Engineering
Data Pipeline Development
API Integration

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Harnham - Data & Analytics Recruitment, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Harnham - Data & Analytics Recruitment. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Harnham - Data & Analytics Recruitment

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Harnham - Data & Analytics Recruitment!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.