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- Tasks: Join our team as a Data Analyst, focusing on data ingestion and cloud migration.
- Company: Santander is a global leader impacting 140 million lives through innovation and digital transformation.
- Benefits: Enjoy flexible working, 27 days holiday, and a £500 annual cash allowance for benefits.
- Why this job: Be part of a diverse culture that values your contributions and offers growth opportunities.
- Qualifications: Experience in Agile, AWS, and big data technologies is essential; coding skills are a plus.
- Other info: Interviews conducted via video; we support diversity and inclusion in the workplace.
The predicted salary is between 28800 - 43200 £ per year.
Country: United Kingdom
WHAT YOU WILL BE DOING
Site Based Contract with a Hybrid Working Pattern. Join our community. We have an exciting opportunity within the Data Acquisition/Ingestion Engineering team for a mixed role with Agile and Data Analyst capabilities, high-skilled in AWS Cloud and Big Data work environments, autonomous, flexible and committed. You are responsible for the end-to-end Data Ingestion, Acquisition and anonymisation to the Santander AWS and Hadoop lakes (Pipeline configuration, with a big focus on Data ingestion, Streaming, data transformation, integration, data exploitation, data modelling and architecture to data governance).
The difference you’ll make. This role is critical for our Data Ingestion to lake and Cloud Data Migration journey and will be an important cloud data Engineer as we strategically land our Data and Digital programmes of work. You’ll take pride in solving data engineering challenges, such as ingestion of data to our Cloud and on-prem lakes, Automation of Serverless ETL Data Pipeline. Working with Data Lakes to achieve our Data acquisition/ingestion, which is made of data storage, Data transformation, streaming, Data classification, Data Quality and controls, Data Governance, Data integration, Data anonymisation etc. Deliver high quality product and services to exceed customers expectation. Data driven approach is at the heart of our transformation through the application of Cloud-Native and Open-source technologies.
What you’ll bring.
- Considerable experience in Agile and Data Analyst for data engineering work environments, or related field with a track record of ingesting, transforming, processing, and extracting value from large volume of datasets.
- Considerable experience in contributing to develop and code end-to-end software solutions and analysis solutions.
- Demonstrable experience as Analyst and Scrum master in engineering and Full Stack SW environments, including Cloud and Big Data.
- Demonstrable AWS or Big Data experience.
It would also be nice for you to have.
- Excellent understanding of Analytics tools, Analytics interfaces (Hue, Athena), and Excellent understanding of Agile.
- Adopting Agile engineering practices and processes to deliver (Scrum/Kanban, DevOps, CI/CD, BDD/TDD test automation).
- Experience using big data technologies (Hadoop, Hive, HBase, Streaming, etc), experience with highly scalable, distributed systems and data processing of large data sets.
- Experience with SQL (Oracle, Postgres, MySQL, Aurora) and NoSQL (AWS DynamoDB, Hbase, Mongo DB) and Graph Databases (Neo4j, AWS Neptune).
What else you need to know.
We will be conducting all interviews via telephone or video-conference where possible. This is a permanent role which is based in Milton Keynes.
Everyday Inclusion
At Santander we’re creating a thriving workplace where all colleagues feel they belong and are supported to succeed. We all help to make Santander a workplace that celebrates diversity and attracts, retains and develops the most talented and committed people through living our values of Simple, Personal, and Fair.
How we’ll reward you.
- As well as a salary, we offer a wide range of benefits that you can choose from and tailor to your needs.
- £500 annual cash allowance to spend on our great range of benefits.
- Eligible for a discretionary performance-related annual bonus.
- We put 8% of salary into your pension, even if you don’t contribute yourself. We’ll pay in up to 12.5% of salary, if you contribute as well, and you can take some of our contribution in cash if you prefer.
- 27 days’ holiday plus bank holidays, which increases to 28 days after 5 years service, with the option to purchase up to 5 contractual days per year.
- Voluntary healthcare benefits at discounted rates, including Bupa medical insurance, dental insurance, healthcare cash plan and health assessments.
- Benefits supporting you and your family, such as death-in-service benefit, income protection, and voluntary life assurance and critical illness cover.
- 24/7 access to an online employee discount platform including retailers, entertainment, eating out, travel and more.
- Share in Santander’s success by investing in our share plans.
- Support your favourite causes through charitable giving and our community partnerships.
What to do next.
If this sounds like a role you’re interested in, then please apply. If there’s anything we can do in the recruitment process to help you achieve your best, get in touch. Whether it’s a copy of our application form in another format or additional assistance, we’re available through telephone, email, or face to face. You can contact us at resourcing@santander.co.uk or call 0870 414 9080.
About the company
Our work touches 140 million lives every day. How? By always innovating, sharing our experiences, questioning how we do things and adapting to new challenges. As we keep reinventing ourselves for the digital age, you’ll find that with us, even your smallest action will have a massive impact. That’s the Santander Effect.
Data Analyst | S2 | CDO | Milton Keynes employer: Santander
Contact Detail:
Santander Recruiting Team
resourcing@santander.co.uk
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst | S2 | CDO | Milton Keynes
✨Tip Number 1
Familiarise yourself with AWS and Big Data technologies, as these are crucial for the role. Consider taking online courses or certifications to boost your knowledge and demonstrate your commitment to potential employers.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who work with Agile methodologies. Attend meetups or webinars to connect with others and gain insights into the industry.
✨Tip Number 3
Showcase your experience with data ingestion and transformation by working on personal projects or contributing to open-source initiatives. This hands-on experience can set you apart from other candidates.
✨Tip Number 4
Prepare for interviews by practising common data analyst scenarios and problems. Be ready to discuss your past experiences and how you've applied Agile practices in your work.
We think you need these skills to ace Data Analyst | S2 | CDO | Milton Keynes
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data ingestion, AWS Cloud, and Big Data environments. Use specific examples that demonstrate your skills in Agile methodologies and data transformation.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your background aligns with the responsibilities outlined in the job description, particularly your experience with data governance and cloud data migration.
Showcase Technical Skills: Clearly list your technical skills related to SQL, NoSQL databases, and big data technologies like Hadoop and Hive. Provide examples of projects where you successfully applied these skills to solve data engineering challenges.
Prepare for Interviews: Since interviews will be conducted via telephone or video, practice articulating your experiences and how they relate to the role. Be ready to discuss your understanding of Agile practices and your approach to data quality and governance.
How to prepare for a job interview at Santander
✨Showcase Your Technical Skills
Make sure to highlight your experience with AWS, Hadoop, and other big data technologies during the interview. Be prepared to discuss specific projects where you successfully implemented data ingestion and transformation processes.
✨Demonstrate Agile Experience
Since the role requires Agile capabilities, be ready to share examples of how you've worked in Agile environments. Discuss your experience as a Scrum Master or in using methodologies like Scrum or Kanban to manage projects effectively.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills in data engineering challenges. Think about past experiences where you had to troubleshoot issues related to data ingestion or processing and how you resolved them.
✨Understand the Company Culture
Familiarise yourself with Santander's values of Simple, Personal, and Fair. Be ready to discuss how you align with these values and how you can contribute to creating an inclusive workplace that celebrates diversity.
