At a Glance
- Tasks: Design and develop data pipelines for financial services and enhance data architecture.
- Company: Join AMS CWS, a leader in innovative financial solutions.
- Benefits: Competitive pay, professional development, and work visa sponsorship available.
- Other info: Dynamic role with opportunities for growth in a supportive environment.
- Why this job: Make an impact in data engineering while collaborating with diverse teams.
- Qualifications: 5+ years in data engineering, SQL proficiency, and cloud platform experience.
Senior Data Engineer at AMS CWS. About the role In this position, you will be responsible for designing and implementing data solutions that support our financial services. You will work collaboratively with various teams to enhance our data architecture and ensure high-quality data management practices.
Key facts
- Location: Reading, Berkshire
- Engagement: Contract
- Compensation: $60,734
What you'll do
- Design and develop data pipelines to process and analyze large datasets.
- Collaborate with cross-functional teams to understand data requirements and deliver effective solutions.
Requirements
- Minimum of 5 years of experience in data engineering or a related field.
- Proficiency in SQL and experience with data warehousing solutions.
- Strong knowledge of Python or Java for data processing tasks.
- Familiarity with cloud platforms such as AWS or Azure.
Skills & tools
- Experience with ETL tools and data modeling techniques.
- Knowledge of data visualization tools like Tableau or Power BI.
- Understanding of machine learning concepts and frameworks is a plus.
Practical notes
- This role is open to candidates who require work visa sponsorship.
- Benefits include competitive pay and opportunities for professional development.
Senior Data Engineer in Reading employer: AMS CWS
At AMS, we pride ourselves on being an exceptional employer that champions inclusivity and diversity in the workplace. Our partnership with PwC allows us to offer meaningful roles like the SAP Analytics Cloud (SAC) Planning Lead, where you can thrive in a high-performance culture that values ethical standards and professional growth. With flexible remote working options and a commitment to employee development, we empower our team members to make a significant impact while enjoying a supportive and dynamic work environment in London.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Reading
✨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 AMS CWS before they're even advertised!
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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.
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Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at AMS CWS, 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 AMS CWS, 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 AMS CWS’s attention and show the tangible impact of your work.
How to prepare for a job interview at AMS CWS
✨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 AMS CWS.
✨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 AMS CWS.
✨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 AMS CWS.
