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- Tasks: Design and maintain data warehouses, automate systems, and deliver insightful business intelligence reports.
- Company: Leading financial services company focused on customer-centric solutions.
- Benefits: Competitive salary, extensive benefits, and flexible working arrangements.
- Why this job: Join an innovative team and make a real impact in the data analytics space.
- Qualifications: Experience with ETL tools, SQL, and delivering BI solutions; strong communication skills.
- Other info: Dynamic work environment with opportunities for professional growth and collaboration.
The predicted salary is between 55000 - 65000 £ per year.
We are currently partnering with a leading and customer centric financial services company in their search for a Data Engineer. You will be joining an experienced and innovative data and analytics function who are currently engaged on multiple data focused projects which are in various stages of development following Agile practices. You'll be automating and integrating multiple data systems, and developing business intelligence solutions for reliable, seamless reporting to serve multiple stakeholders.
The technology stack consists of: Oracle tools, Snowflake, Postgres, various AWS Services (SageMaker, Lambda, Step Functions, DMS, S3 etc.) in the AWS Cloud.
Responsibilities- Designing, building, and maintaining a Data Warehouse and related applications.
- Analysing, developing, delivering, and managing business intelligence reports in OAS and other tools.
- Assisting in the design of the ETL process, including data quality, reconciliation, and testing.
- Contributing to technical process improvement initiatives.
- Supporting UAT processes by working with stakeholders to successfully sign-off business requirements.
- Assisting in prioritisation and estimation of project work.
- Transform data into meaningful insights and recommendations.
- Experience of building a data warehouse using an ETL/ELT tool.
- Star schema/dimensional modelling.
- Good knowledge of standard data formats (XML, JSON, csv, etc).
- Proven experience of delivering BI solutions for business requirements.
- Experience of developing using an Agile development approach.
- Proficient in turning raw, structured and unstructured data into meaningful insights and recommendations.
- Efficient at handling large data sets in data platforms (such as Oracle, Snowflake), with mastery of SQL and Power BI. Additional proficiency in Python or R is an asset.
- Experienced in delivering difficult and complex projects involving multiple teams/stakeholders.
- Excellent communication skills with the ability to build relationships at all levels, highly customer focused with the ability to work collaboratively.
- Able to perform and work effectively as a sole developer on a project and work collaboratively with the wider BI Team.
- Proven experience of Oracle ODI.
- Experience in Oracle.
- Familiarity with Snowflake.
- Experience of building Oracle OBIEE/OAS reports & dashboards.
- Experience with working on the cloud, preferably with AWS, including certifications.
- Familiarity with Apex.
- Data migration.
- Understanding of machine learning or data science, including Python.
Candidates must be based in the UK and hold a British/EU Passport or Indefinite Leave to Remain.
Please apply now for more information.
Data Engineer in Bristol employer: Morson Edge (Financial Services)
Contact Detail:
Morson Edge (Financial Services) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Bristol
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data warehousing and BI solutions. We recommend using platforms like GitHub to share your code and demonstrate your expertise in SQL, Python, or any other relevant tech.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. We suggest practising your problem-solving skills and being ready to discuss how you've tackled complex projects in the past. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for talented individuals like you to join our innovative team.
We think you need these skills to ace Data Engineer in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with data warehouses, ETL processes, and any relevant technologies like Oracle or Snowflake. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your background makes you a great fit for our team. Keep it concise but engaging – we love a good story!
Showcase Your Projects: If you've worked on any cool data projects, make sure to mention them! Whether it's building BI solutions or automating data systems, we want to know what you've done and how it relates to the role. Real-world examples can really make your application stand out.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you'll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Morson Edge (Financial Services)
✨Know Your Tech Stack
Make sure you’re familiar with the technologies mentioned in the job description, like Oracle tools, Snowflake, and AWS services. Brush up on your SQL skills and be ready to discuss how you've used these tools in past projects.
✨Showcase Your BI Solutions
Prepare to talk about specific business intelligence solutions you've delivered. Have examples ready that demonstrate your ability to turn raw data into meaningful insights, and be prepared to discuss the impact of your work on stakeholders.
✨Emphasise Agile Experience
Since the role involves Agile practices, be ready to share your experiences working in Agile environments. Discuss how you’ve contributed to sprints, collaborated with teams, and adapted to changing requirements.
✨Communication is Key
Highlight your communication skills during the interview. Be prepared to explain complex technical concepts in simple terms, as you'll need to build relationships with various stakeholders. Practice articulating your thoughts clearly and confidently.
