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- Tasks: Join our team to design and implement a cutting-edge data platform using Azure Databricks.
- Company: Insight Investment is a top asset manager focused on innovative investment solutions since 2002.
- Benefits: Enjoy a collaborative culture, opportunities for growth, and the chance to work with advanced technologies.
- Why this job: Shape our data strategy, drive innovation, and make a real impact in a global organization.
- Qualifications: Experience with Azure Databricks, Python, Terraform, and CI/CD pipelines is essential.
- Other info: We value diversity and encourage applications from all backgrounds.
The predicted salary is between 43200 - 72000 £ per year.
Insight Investment is looking for an experienced Data Engineer to join our growing team building our strategic data platform as we look to adopt best-in-class data governance and democratize data around the business.
The successful candidate will play a pivotal role in shaping and executing our data strategy, leveraging our data assets to the full, elevating our decision-making, streamlining processes, and drive innovation within our organisation.
You will be part of the long-standing Data Platform team using Agile methods to deliver solutions on top of our cloud platform. Starting with Azure Databricks as a foundational component, we will look to integrate other technologies and grow capability to meet the demands of the business. You will work closely with a variety of business areas and be involved in all aspects of the Secure System Development Lifecycle (S-SDLC).
Role Responsibilities
- Lead the design and implementation of a robust and scalable data platform using Azure Databricks and complementary tooling to meet the organisation\’s needs.
- Contribute to and evolve the Insight Data Strategy, communicate outcomes at an executive through to team level Set the firm-wide standards and conventions for ingesting, governing, transforming, persisting, and democratising data.
- Enable the adoption of advanced analytics & AI by configuring best-in-class tooling. Evolve the usage of infrastructure-as-code in collaboration with cloud engineering.
- Align technical designs with internal data, privacy, security and compliance policies.
- Stay abreast of industry trends and emerging technologies related to Databricks and big data processing, recommending relevant advancements for consideration.
Experience Required
- Azure Databricks (Unity Catalog, Delta Lake, Delta Live Tables, Apache Spark, Structured Streaming) Python3 Terraform in Azure Integration with Collibra Integration with Snowflake Experience with CI/CD pipelines (GitHub Actions / TeamCity / Artifactory).
- Demonstrate initiative and independence to solve problems.
- Be able to communicate abstract or complex ideas or solutions effectively.
- Stand by software engineering principles around quality and doing things the right way. Experience working in and with Agile teams performing iterative development.
- Ability to collaborate with end users, stakeholders, teams, and team members.
- Have a constant desire to improve knowledge and drive adoption of new tech or approaches within the teams.
- Own mistakes and work with your colleagues to redress them, learn from them and make improvements for the long-term.
Insight is committed to being an inclusive employer and encourages applications from all suitably qualified applicants irrespective of background, circumstances, age, disability, gender identity, ethnicity, religion or belief, sexual orientation or other factors protected by federal, state and/or local laws. If you are a candidate with a disability, or are assisting a candidate with a disability, and require an accommodation to apply for one of our jobs, please email us at TalentAcquisition@InsightInvestment.com
About Insight Investment Insight Investment is a leading asset manager focused on designing investment solutions to meet its clients\’ needs. Founded in 2002, Insight\’s collaborative approach has delivered both investment performance and growth in assets under management. Insight manages assets across its core liability-driven investment, risk management, full-spectrum fixed income, currency and absolute return capabilities.
Insight is a global network of operations in the UK, Ireland, Germany, US, Japan and Australia. More information about Insight Investment can be found at: www.insightinvestment.com
Insight Investment | Senior Data Engineer employer: Insight Investment
Contact Detail:
Insight Investment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Insight Investment | Senior Data Engineer
✨Tip Number 1
Familiarize yourself with Azure Databricks and its components like Unity Catalog and Delta Lake. Having hands-on experience or projects showcasing your skills in these areas will make you stand out.
✨Tip Number 2
Stay updated on the latest trends in big data processing and analytics. Being able to discuss recent advancements or technologies during your interview can demonstrate your passion and commitment to the field.
✨Tip Number 3
Showcase your experience with Agile methodologies. Be prepared to share specific examples of how you've contributed to iterative development processes and collaborated with cross-functional teams.
✨Tip Number 4
Highlight your problem-solving skills and ability to communicate complex ideas effectively. Prepare scenarios where you've successfully navigated challenges and how you conveyed solutions to various stakeholders.
We think you need these skills to ace Insight Investment | Senior Data Engineer
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Senior Data Engineer position. Understand the key responsibilities and required skills, especially around Azure Databricks, Python, and CI/CD pipelines.
Tailor Your CV: Customize your CV to highlight relevant experience and skills that align with the job requirements. Emphasize your experience with Azure Databricks, data governance, and Agile methodologies.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and how your background aligns with Insight Investment's goals. Mention specific projects or experiences that demonstrate your ability to lead data strategy and implement robust data platforms.
Showcase Problem-Solving Skills: In your application, provide examples of how you've demonstrated initiative and independence in solving complex problems. Highlight your ability to communicate abstract ideas effectively and collaborate with diverse teams.
How to prepare for a job interview at Insight Investment
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Azure Databricks, Python, and Terraform in detail. Highlight specific projects where you've successfully implemented these technologies, as this will demonstrate your capability to lead the design and implementation of a robust data platform.
✨Understand the Data Strategy
Familiarize yourself with Insight Investment's data strategy and be ready to discuss how you can contribute to its evolution. Think about how you can align technical designs with internal data governance and compliance policies, as this is crucial for the role.
✨Emphasize Agile Experience
Since the team uses Agile methods, share your experiences working in Agile environments. Discuss how you've collaborated with cross-functional teams and contributed to iterative development processes, showcasing your ability to adapt and thrive in such settings.
✨Demonstrate Problem-Solving Skills
Prepare examples that illustrate your initiative and independence in solving complex problems. Be ready to discuss a situation where you owned a mistake, learned from it, and made improvements, as this reflects the values Insight Investment seeks in a candidate.
