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For Companies At a Glance
- Tasks: Build innovative data solutions and automate data pipelines for a major UK retail bank.
- Company: Join AMS, connecting skilled professionals with top companies in the UK.
- Benefits: Enjoy a hybrid work model with flexible office days and competitive pay.
- Why this job: Be part of a dynamic team driving digital transformation and enhancing customer experiences.
- Qualifications: Experience in data modelling, Python, SQL, and AWS is essential.
- Other info: This role is a 12-month contract based in London, requiring Umbrella or PAYE engagement.
The predicted salary is between 48000 - 72000 £ per year.
Job Description
Our Contingent Workforce Solutions (CWS) is one of our service offerings. Acting as an extension of their recruitment teams, we connect them with skilled interim and temporary professionals, fostering workplaces where everyone can contribute and succeed.
Our client, a major UK retail bank, provides every day banking services to over 17 million retail customers. The banks' expertise and services span across Business Services, Corporate banking, Wealth Management, Group Functions, Retail and Investment Banking.
On behalf of this organisation, AMS are looking for a Data Engineer for a 12 month contract based in London (hybrid – 2 days in the office per week).
The Data Engineer will help drive the build of effortless, digital first customer experiences, simplifying the organisation by developing innovative data driven solutions through data pipelines, modelling and ETL design, inspiring to be commercially successful through insight and keep customers and the organisation's data safe and secure.
What you'll do:
- Build advanced automation of data engineering pipelines through removal of manual stages.
- Embed new data techniques through role modelling, training and experiment design oversight.
- Deliver a clear understanding of data platform costs to meet departments cost saving and income targets.
- Source new data using the most appropriate tooling for the situation.
- Develop solutions for streaming data ingestion and transformations in line with the client's streaming strategy.
- Analyse the business requirements from data modelling and feasibility point of view.
- Define the data model based on the analysis and the available architecture/tool stack.
- Implement the data pipelines from new sources to final views E2E.
The skills you'll need:
- Experience in developing data models & solutions from scratch i.e. from business requirements collection to the development of the solution.
- Strong analytical and problem-solving skills with a keen attention to details in the data.
- Python.
- Pyspark.
- SQL.
- Code management using Git.
- AWS.
- Experience working with mortgages data or treasury data.
Next steps
This client will only accept workers operating via an Umbrella or PAYE engagement model.
If you are interested in applying for this position and meet the criteria outlined above, please click the link to apply and we will contact you with an update in due course.
AMS, a Recruitment Process Outsourcing Company, may in the delivery of some of its services be deemed to operate as an Employment Agency or an Employment Business
Data Engineer - Alexander Mann Solutions (Contingent) employer: Alexander Mann Solutions (Contingent)
Contact Detail:
Alexander Mann Solutions (Contingent) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Alexander Mann Solutions (Contingent)
✨Tip Number 1
Familiarise yourself with the specific data tools mentioned in the job description, such as Python, Pyspark, SQL, and AWS. Having hands-on experience or projects showcasing your skills with these technologies can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the banking and data engineering sectors. Attend relevant meetups or webinars to connect with individuals who may have insights into the company culture or the specific needs of the role.
✨Tip Number 3
Prepare to discuss your experience with data modelling and ETL design in detail. Be ready to share examples of how you've successfully developed data solutions from scratch, as this is a key requirement for the role.
✨Tip Number 4
Research the client, a major UK retail bank, to understand their services and customer base. This knowledge will help you tailor your discussions during interviews and demonstrate your genuine interest in contributing to their goals.
We think you need these skills to ace Data Engineer - Alexander Mann Solutions (Contingent)
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Engineer position. Familiarise yourself with key terms like data pipelines, ETL design, and streaming data ingestion.
Tailor Your CV: Customise your CV to highlight relevant experience in data modelling, Python, Pyspark, SQL, and AWS. Use specific examples from your past work that demonstrate your analytical and problem-solving skills.
Craft a Compelling Cover Letter: Write a cover letter that connects your skills and experiences directly to the job description. Mention your familiarity with mortgages or treasury data if applicable, and express your enthusiasm for contributing to the client's goals.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is accurate and clearly presented.
How to prepare for a job interview at Alexander Mann Solutions (Contingent)
✨Showcase Your Technical Skills
Make sure to highlight your experience with Python, Pyspark, SQL, and AWS during the interview. Be prepared to discuss specific projects where you developed data models or built data pipelines, as this will demonstrate your technical proficiency.
✨Understand the Business Context
Familiarise yourself with the banking sector, particularly how data engineering impacts customer experiences in retail banking. Being able to relate your technical skills to business outcomes will impress the interviewers.
✨Prepare for Problem-Solving Questions
Expect to face analytical and problem-solving scenarios during the interview. Practice articulating your thought process when tackling data-related challenges, as this will showcase your critical thinking abilities.
✨Demonstrate Collaboration Skills
Since the role involves working closely with various teams, be ready to discuss your experience in collaborative environments. Share examples of how you've successfully worked with others to achieve common goals, especially in data-driven projects.
