Data Consultant: Cloud, ETL & BI Architect in Milton Keynes

Data Consultant: Cloud, ETL & BI Architect in Milton Keynes

Milton Keynes Full-Time 63000 - 77000 £ / year (est.) No working from home possible
SDG Group

At a Glance

  • Tasks: Design and implement ETL processes while delivering insights on data-driven projects.
  • Company: Join SDG Group, a leader in data solutions based in Milton Keynes.
  • Benefits: Enjoy competitive pay, flexible working, and opportunities for professional growth.
  • Other info: Be part of a dynamic team focused on innovative data architecture.
  • Why this job: Make an impact by optimising client solutions with cutting-edge data technologies.
  • Qualifications: Experience with SQL, Python, Spark, and BI tools is essential.

The predicted salary is between 63000 - 77000 £ per year.

SDG Group is seeking a Data Consultant to join our Data practice based out of Milton Keynes.

You will work on data-driven projects, delivering insights and recommendations to optimise client solutions.

You'll design and implement ETL/ELT processes, contribute to data architecture discussions, and help build scalable data solutions using SQL, Python, Spark and BI tools across cloud platforms.

#J-18808-Ljbffr

Data Consultant: Cloud, ETL & BI Architect in Milton Keynes employer: SDG Group

SDG Group is an exceptional employer for those passionate about data and analytics, offering a dynamic work culture that prioritises flexibility through our Smart Work model. Employees benefit from tailored career paths in consulting and specialisation, alongside continuous learning opportunities and the chance to work on impactful projects with leading clients in a global environment. With a focus on innovation and professional growth, SDG Group empowers its team members to thrive as they tackle complex data challenges using cutting-edge technologies.

SDG Group

Contact Details:

SDG Group Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Consultant: Cloud, ETL & BI Architect in Milton Keynes

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 SDG Group!

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 Consultant: Cloud, ETL & BI Architect at SDG Group.

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 SDG Group.

Apply Directly through Our Website

When you find a suitable opening like Data Consultant: Cloud, ETL & BI Architect at SDG Group, 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 Consultant: Cloud, ETL & BI Architect in Milton Keynes

Communication Skills
Problem-Solving Skills
SQL
Python
Automation
Data Pipeline Development
Data Governance

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 SDG Group, 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 SDG Group. 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 SDG Group

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 SDG Group!

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.