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- Tasks: Lead a team to develop and transform complex data pipelines using AWS and Oracle.
- Company: Join a forward-thinking company focused on data innovation and transformation.
- Benefits: Competitive salary, professional development, and opportunities for career advancement.
- Why this job: Make a real impact by leading data engineering in a transformative environment.
- Qualifications: Experience in Oracle, PL-SQL, and cloud technologies like AWS is essential.
- Other info: Dynamic role with a focus on team stability and continuous improvement.
The predicted salary is between 60000 - 80000 £ per year.
This is an opportunity to lead a team of data engineers working on complex data pipelines, ingesting and transforming data from/to a variety of sources (email, csv, ODBC/JDBC, JSON, XML, Excel, Avro, Parquet). Data pipelines are primarily developed in AWS using a variety of tools and languages including AWS S3, AWS Athena, AWS Redshift, AWS Glue, Java (Docker / Spring).
The position requires leading the data engineering development for a team of data engineers working on a legacy Oracle data platform and delivering data integration and data retrieval services using PL-SQL. A complex transformation programme is delivering the change of people, process and technology to redesign and transform the processing of the Oracle data outputs onto the strategic data platform.
This role would ideally have experience of Oracle and PL-SQL, with the aptitude to move to cloud native tooling such as AWS Athena, Python, S3. Additionally, a key priority is to manage the people change to ensure the team stability and business continuity throughout the transformation.
Main Responsibilities- Manage data sources effectively to improve data quality and make them suitable for analysis.
- Drive and develop new data models and ETL processes, working collaboratively with the analytics team and mapping data to an appropriate matching data model.
- Utilise essential key stakeholder management skills to effectively manage expectations, actively listen and interpret business needs, communicate progress, and navigate challenging conversations, all while fostering a service orientated culture around data.
- Manage the performance of suppliers and the data team to improve capability, as well as creating the roadmap which balances immediate user needs with long-term investment.
- Develop processes to balance data availability, capacity and data archiving, while continually improving processes and efficiency in the acquisition and ingestion of data.
- Identify data issues in data pipelines and manage their resolution.
- Proficiency in Oracle and Java for developing and maintaining data pipelines and integration solutions.
- Proven track record of leading engineering teams through transformation programs, specifically migrating from legacy platforms to modern cloud-native solutions (e.g., AWS).
- The successful candidate will be responsible for upskilling staff to transition to a new platform. They must also have leadership experience, including coaching and professional development skills.
Please note that this role requires Security Check (SC) clearance, which would normally need 5 years’ UK residency in the past 5 years. However, in exceptional circumstances security clearance applications for candidates who have been present in the UK for at least 3 of the last 5 years may be considered. Failure to meet this residency requirement will result in your security clearance application being rejected.
Lead Data Engineer - Data Services and Analytics in Salford employer: Manchester Digital
Contact Detail:
Manchester Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer - Data Services and Analytics in Salford
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with AWS and Oracle. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects you've worked on. This is your chance to demonstrate your expertise in AWS tools and PL-SQL, making you stand out to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your leadership and stakeholder management skills. Be ready to discuss how you've led teams through transformation and tackled challenges in data integration.
✨Tip Number 4
Don't forget to apply through our website! We love seeing passionate candidates who are eager to join our team. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Lead Data Engineer - Data Services and Analytics in Salford
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let your enthusiasm for data shine through! Share specific examples of projects or experiences that highlight your love for data engineering and how you've tackled complex data challenges.
Tailor Your Application: Make sure to customise your CV and cover letter to match the job description. Highlight your experience with AWS tools, Oracle, and PL-SQL, and explain how your skills align with the responsibilities outlined in the role.
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to describe your achievements and avoid jargon unless it's relevant. We want to see your skills without having to decipher complicated terms!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining the StudySmarter team!
How to prepare for a job interview at Manchester Digital
✨Know Your Data Tools
Make sure you brush up on your knowledge of AWS tools like S3, Athena, and Glue, as well as your experience with Oracle and PL-SQL. Be ready to discuss how you've used these technologies in past projects and how they can be applied to the role.
✨Showcase Leadership Skills
Since this is a lead position, prepare examples that highlight your leadership experience. Think about times when you've successfully managed a team through a transformation or coached someone to improve their skills. This will demonstrate your ability to guide others during the transition to cloud-native solutions.
✨Understand Stakeholder Management
Familiarise yourself with effective stakeholder management techniques. Be prepared to discuss how you've navigated challenging conversations and managed expectations in previous roles. This will show that you can foster a service-oriented culture around data.
✨Prepare for Technical Questions
Expect technical questions related to data pipelines, ETL processes, and data quality management. Brush up on your problem-solving skills and be ready to tackle hypothetical scenarios that may arise in the role. This will help you demonstrate your analytical thinking and technical expertise.