Snowflake Data Engineer (Python, ETL, SQL) REMOTE UK in England

Snowflake Data Engineer (Python, ETL, SQL) REMOTE UK in England

England Full-Time 72000 - 88000 £ / year (est.) Working from home possible
Akkodis

At a Glance

  • Tasks: Design and implement robust ETL processes and scalable data structures.
  • Company: Join an award-winning tech company revolutionising the industry with AI-driven solutions.
  • Benefits: Earn up to £70,000 plus amazing benefits while working fully remote.
  • Other info: Enjoy a great work-life balance in a supportive, agile environment.
  • Why this job: Be part of a team that leverages data for some of the biggest brands globally.
  • Qualifications: Experience in Python, SQL, Snowflake, and data engineering principles required.

The predicted salary is between 72000 - 88000 £ per year.

Join to apply for the Snowflake Data Engineer (Python, ETL, SQL) REMOTE UK role at Akkodis. This range is provided by Akkodis. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range: Up to £70,000 plus benefits. FULLY REMOTE UK.

Are you a Data Engineering enthusiast who thrives from designing and implementing robust ETL processes, highly scalable data structures and data pipelines within a truly enterprise-scale data processing environment? Do you want to work on an AI-Driven SaaS platform that's utilised by some of the biggest brands in the world? If so - look no further.

This is your chance to help my client build their new Data Infrastructure and essentially help them to leverage the power of data, working on large-scale data processing systems. They have an award-winning, enterprise-scale SaaS platform that has revolutionised its industry and is being utilised by some of the biggest companies and brand names in the WORLD. They currently have HUNDREDS of clients globally alongside millions of users!

They built the platform from scratch several years ago using absolutely no legacy code and only the very best technology stack and enterprise tools within a true Microservices environment. Data is absolutely at the heart of what they do and with an ambitious roadmap ahead, they are looking for a senior data engineer to join them.

I am looking for someone to take ownership of data modelling and engineering across the business. You will have a robust Infrastructure background and a good understanding of the different complexities that come when moving one system to another.

Let's talk tech. The platform integrates Python and Snowflake and you will need a deep understanding of SQL and NoSQL databases (MongoDB or similar!). You will also have exposure with streaming platforms like Apache Kafka and be able to develop and maintain ELT and essentially bring a solid understanding of data warehousing concepts and best practice.

Essentially, a strong Data Engineer who is a Snowflake enthusiast who can understand Apache Kafka to a high standard and have solid knowledge of Apache Airflow - from a Cloud perspective, good AWS exposure.

Naturally you will have a good understanding of AWS. I would love you to be an advocate of Agile too - these guys are massive on Agile Delivery and Scrum - so it’s important you share a similar mindset and appreciate continuous integration and deployment.

If the world of AI is your bag - this is a platform you will want to be working on. This is a great chance to join a firm who do things the right way. These guys absolutely do NOT compromise on quality - they take it very seriously. They place a huge emphasis on delivery so it’s naturally critical we find someone that shares and owns this mindset!

They have awesome offices here in Nottingham but they’re remote-first, so you can work from home if you wish. They treat their staff super well and are a massive believer in giving their people a good home life/work life balance.

Salary to £70k plus amazing benefits.

Snowflake Data Engineer (Python, ETL, SQL) REMOTE UK in England employer: Akkodis

Join a leading defence and technology organisation in Stevenage as a Principal Commercial Officer, where you will thrive in a collaborative work culture that values your contributions and supports your professional growth. With competitive salaries, excellent benefits, and hybrid working arrangements, this role offers the unique opportunity to engage with nationally significant programmes while developing your career in a complex and regulated environment. Experience a workplace that prioritises continuous improvement and fosters strong stakeholder relationships, making it an ideal setting for those seeking meaningful and rewarding employment.

Akkodis

Contact Details:

Akkodis Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Snowflake Data Engineer (Python, ETL, SQL) REMOTE UK in England

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 Akkodis!

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 Snowflake Data Engineer (Python, ETL, SQL) REMOTE UK at Akkodis.

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 Akkodis.

Apply Directly through Our Website

When you find a suitable opening like Snowflake Data Engineer (Python, ETL, SQL) REMOTE UK at Akkodis, 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 Snowflake Data Engineer (Python, ETL, SQL) REMOTE UK in England

Python
Snowflake
ETL/ELT
Data Modelling
Apache Airflow
Kafka
SQL

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 Akkodis, 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 Akkodis. 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 Akkodis

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 Akkodis!

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.