At a Glance
- Tasks: Join our Data Engineering team to transform businesses using Google Cloud technologies.
- Company: Fast-growing company founded by former Google Cloud leaders, fostering innovation.
- Benefits: Competitive pay, remote work flexibility, and opportunities for professional growth.
- Other info: Dynamic role with potential for contract extensions and diverse project engagements.
- Why this job: Be a trusted advisor and make a real impact on data transformation projects.
- Qualifications: 5+ years in data engineering, strong Python skills, and cloud data warehouse experience.
The predicted salary is between 75 - 75 £ per hour.
Remote - 6 months+ extensions - Anywhere in EU
MUST BE AN EXPERT IN GCP
Pay to candidate no higher than €75 per hour. / €600 a day
Our client is a fast-growing company founded by former Google Cloud leaders, architects, and engineers. They are seeking candidates with significant experience in Google Cloud to join the team. Their engagements aim to eliminate obstacles, reduce risk, and accelerate timelines for customers transitioning to Google and seeking assistance with data and application modernization. They embed within customer teams to provide strategic guidance, facilitate technology decisions, and execute projects in a collaborative, co-development style.
What you will do...
As a member of our Data Engineering team, you will be working with fast-paced innovative companies, leveraging Cloud as the key driver of their transformation. They will look at you as their trusted advisor, someone they can rely on and who will be there to help them along their journey on Google Cloud. You will be expected to cover a large spectrum of technology topics like ETL/ELT, Data Warehousing, Distributed Data Processing, and Streaming Data systems.
NOTE: This opportunity is available on a contractor basis.
Who we need...
- 5+ years of experience serving as a data engineer or in a comparable engineering capacity
- Strong skills with Python or a JVM language (Java, Scala)
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Experience working with cloud data warehouses, specifically BigQuery or Snowflake
- Experience working with data platforms built on public cloud in a production setting.
- Experience working with GCP native data toolset is preferred.
- Having built ELT or ETL pipelines processing large amounts of data.
- Experience with dbt or Airbyte is preferred.
- Experience developing production Spark or Hadoop applications
- Gained experience with a workload scheduling and orchestration tool such as Apache Airflow/Cloud Composer
- Familiarity with modern DataOps (e.g. quality eng, testing, pipeline deployments etc) practices and IaC (e.g. Terraform)
- Familiarity with the constellation of tools in the data engineering ecosystem.
- You should be comfortable picking up and learning a new tool, as well as recommending tools that have served you well.
- Experience with batch, micro-batch, and real-time streaming architectures
- Good internal and customer-facing communication skills
- Experience with relational database management systems and change data capture (CDC) is a plus
By applying for this role, you consent to SGI contacting you by telephone regarding recruitment services, market updates, and relevant business opportunities.
We believe in equal opportunity for all and actively encourage applications from diverse backgrounds, experiences, and perspectives.
Source Group International Ltd is acting as an Employment Business in relation to this vacancy.
GCP Data Engineer (Python/BigQuery/Snowflake) employer: SGI
Join a leading investment manager in London, where you will have the opportunity to take ownership of building and enhancing cutting-edge trading systems from the ground up. With a strong focus on collaboration across trading, investment, and technology teams, this role offers a dynamic work culture that values innovation and professional growth. Enjoy the benefits of hybrid working while contributing to impactful projects that shape the future of FX and investment technology.
StudySmarter Expert Advice🤫
We think this is how you could land GCP Data Engineer (Python/BigQuery/Snowflake)
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like SGI before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like SGI.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like SGI.
We think you need these skills to ace GCP Data Engineer (Python/BigQuery/Snowflake)
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at SGI, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to SGI, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab SGI’s attention and show the tangible impact of your work.
How to prepare for a job interview at SGI
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at SGI.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at SGI.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at SGI.
