At a Glance
- Tasks: Design and implement complex data flows and build robust data models in GCP.
- Company: Join a leading digital and data environment with a focus on innovation.
- Benefits: Flexible hybrid working, competitive pay, and opportunities for professional growth.
- Other info: Collaborative team culture with a focus on data quality and governance.
- Why this job: Make an impact by developing cutting-edge cloud-based data infrastructure.
- Qualifications: 5+ years in data roles, strong GCP and BigQuery experience required.
The predicted salary is between 63000 - 77000 £ per year.
- DATA ENGINEER - GCP Location: London, Bristol or Manchester - Flexible
- Hybrid
- Working
Engagement: Inside IR35 Clearance: BPSS with eligibility for SC clearance We're looking for an experienced Data Engineer to join a large-scale digital and data environment, helping develop and mature the infrastructure used to collect, process and make analytical data useful.
This is a hands-on technical role working across data engineering and wider technical teams.
You\'ll work on complex data flows, scalable data models and cloud-based data infrastructure, while contributing to strong engineering practices and standards.
The environment is heavily focused on Google Cloud Platform (GCP), with Big Query, Dataform and Airflow/Cloud Composer forming key parts of the technology stack.
WHAT YOU'LL BE DOING Designing and implementing complex data flows across operational, analytics and BI systems.
Building and refining robust data models that make data easier for teams to consume and use.
Developing and improving cloud-based data infrastructure within GCP.
Collecting and integrating data from multiple sources, including APIs and digital channels.
Improving data tooling, technologies and engineering practices.
Supporting strong data quality, governance and infrastructure standards.
Working collaboratively with developers, analysts and other data professionals.
Independently investigating technical problems where the requirements or solution may not initially be clearly defined.
ESSENTIAL EXPERIENCE Strong hands-on experience with Google Cloud Platform (GCP).
Strong experience with Big Query.
Experience using Dataform.
Experience with Airflow / Cloud Composer.
Strong data engineering fundamentals, including building scalable and robust production data solutions.
Experience working with data quality, governance and appropriate data controls.
Confidence operating in environments where requirements may initially be ambiguous.
An investigative approach, with the ability to ask the right questions, find answers and independently move work forward.
At least 5 years\' experience in a data-related profession, including at least 2 years within an engineering-focused role.
DESIRABLE EXPERIENCE Terraform / Infrastructure as Code.
Python.
SQL.
Git Hub / Git-based development.
Code reviews and CI/CD.
API-based data collection and integration.
Analytical or behavioural data.
Data governance and regulatory requirements such as GDPR.
Data quality frameworks and controls.
Cross-domain data collection.
GCP certifications or accreditations. #J-18808-Ljbffr
Data Engineer - GCP employer: Adecco
Our client in Worthing is an excellent employer, offering a supportive work culture that values teamwork and individual contributions. With competitive pay and flexible hours, employees enjoy a balanced work-life dynamic while having access to growth opportunities within the manufacturing sector. This role as a Kitting Operative not only provides meaningful work but also allows you to be part of a respected organisation committed to excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - GCP
✨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 Adecco 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 Adecco.
✨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 Adecco.
We think you need these skills to ace Data Engineer - GCP
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Adecco, 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 Adecco, 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 Adecco’s attention and show the tangible impact of your work.
How to prepare for a job interview at Adecco
✨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 Adecco.
✨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 Adecco.
✨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 Adecco.
