At a Glance
- Tasks: Build and maintain scalable data pipelines for AI/ML user experiences.
- Company: Leading global SaaS organisation with a focus on engineering excellence.
- Benefits: Hybrid working, great location, and award-winning work environment.
- Other info: Opportunity for permanent role after 12 months.
- Why this job: Join a dynamic team and enhance your skills with cutting-edge technologies.
- Qualifications: 3+ years in data engineering, proficient in Python, SQL, and cloud technologies.
The predicted salary is between 60000 - 80000 £ per year.
Our client, a leading global SaaS organisation is looking for a Data Engineer to join their International Engineering team. This is a great opportunity to contribute greatly to an extremely engineering-focused organization and further your experience across technologies such as Cloud Composer, Airflow, Dataflow, Spark, Terraform, Google Cloud Platform, etc.
You will own engineering efforts to provide partner teams within the organisation with data sources that build the AI/ML user experience. This is a 12 months contract Hybrid role with the opportunity for the role to go permanent.
What You'll Do:
- Build and maintain scalable data pipelines for BigQuery using Cloud Composer and Airflow;
- Provide observability and monitoring using Monte Carlo and Looker as well as operational tools such as NewRelic and Splunk, driving reliability, data quality, and robustness;
- Build critical data quality checks to ensure that the data we process and provide to partner teams meets security and compliance requirements;
- Participate in code and technical design reviews;
- Scope and plan work together with product engineering, data science and the business; support other teams for all tasks related to data tracking, collection, ingestion, quality monitoring and alerting.
Minimum requirements:
- 3+ years of experience managing batching and/or streaming data pipelines and infrastructure using technologies such as GCP, Dataflow/Apache Beam, Dataproc, Spark/Flink, dbt;
- Working knowledge of Python, SQL and shell scripting;
- Experience with Docker/k8s and “infrastructure as a code” tools such as Terraform, Salt or similar;
- 3+ years of significant professional experience developing applications written in a modern programming environment - preferably Scala/Java and/or Python;
- Professional experience across the entire software development life cycle, from gathering requirements to production deployment using CI & CD;
- Confident at articulating complex technical content to peers and partners across the organization via Technical Design Documents.
Benefits:
- Hybrid working
- Great location with fantastic offices
- Award winning work environment
Data Engineer - Global Organisation in London employer: Executive Facilities
Join a leading global SaaS organisation that prioritises engineering excellence and innovation. With a hybrid working model and a fantastic office location, you will thrive in an award-winning work environment that fosters collaboration and professional growth. This role offers the chance to work with cutting-edge technologies while contributing to impactful projects that enhance AI/ML user experiences.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - Global Organisation in London
✨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 Executive Facilities 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 Executive Facilities.
✨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 Executive Facilities.
We think you need these skills to ace Data Engineer - Global Organisation in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Executive Facilities, 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 Executive Facilities, 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 Executive Facilities’s attention and show the tangible impact of your work.
How to prepare for a job interview at Executive Facilities
✨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 Executive Facilities.
✨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 Executive Facilities.
✨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 Executive Facilities.
