At a Glance
- Tasks: Design and implement Databricks solutions for financial data management and analysis.
- Company: Treliant is a global consulting firm focused on financial services and regulatory compliance.
- Benefits: Join a dynamic team with career development, competitive salary, and flexible healthcare options.
- Why this job: Work with top clients in finance, embrace innovation, and grow your skills in a collaborative culture.
- Qualifications: Degree in a relevant field and 2+ years of Databricks experience required.
- Other info: Must have the right to work in the UK without sponsorship.
The predicted salary is between 43200 - 72000 £ per year.
Overview
We are looking for Databricks Engineers from a consulting, investment banking or financial services backgrounds to add to our future Talent Pool community. If you wish to be considered for any future roles we have within this area, please share your CV with us.
Treliant is a global consulting firm serving banks, mortgage originators and servicers, FinTechs, and other companies providing financial services. We are led by practitioners from the industry and the regulatory community who bring deep domain knowledge to help our clients drive business change and address the most pressing compliance, regulatory, and operational challenges.
We provide data-driven, technology-enabled advisory and consulting, implementation, staffing and managed services solutions to the regulatory compliance, risk, financial crimes, and capital markets functions of our clients.
Founded in 2005, Treliant is headquartered in Washington, DC, with offices across the United States, London, Belfast, and Łódź, Poland. For more information visit
Responsibilities
While the scope of each project may be different, your duties & responsibilities may include:
- Design and implement Databricks-based solutions for managing, processing, and analyzing large datasets within the financial services sector.
- Collaborate with cross-functional teams (data scientists, analysts, business stakeholders) to develop and optimize data pipelines, workflows, and data models.
- Guide and support the migration of legacy systems to Databricks, ensuring seamless transitions from legacy to cloud-based environments.
- Ensure data integrity, security, and compliance with financial industry regulations.
- Build and optimize ETL processes using Databricks, Spark, and other data processing tools.
- Implement data governance best practices within the Databricks environment, including data quality, access controls, and audit logging.
- Develop real-time data solutions and integrate Databricks with other data platforms (e.g., data lakes, cloud storage, and data warehouses) to ensure seamless data flow.
- Optimize performance for large-scale data operations, focusing on scalability, efficiency, and cost-effectiveness.
Qualifications
- Strong educational background – Degree in a relevant field.
- 2+ years of experience working with Databricks in a production environment.
- Strong background in ETL/ELT pipeline design and implementation within Databricks.
- Proficiency in SQL, Python, and PySpark for data processing and analysis.
- Experience with streaming technologies such as Kafka for real-time data processing.
- Experience in data migration and integration for data warehouses, including cross-business unit delivery.
- Strong understanding of data governance, security, and compliance standards in financial services.
- Knowledge of reference data, including counterparty and business hierarchy data.
- Experience with financial products (e.g., cashflow forecasting, liquidity management, securities) and regulatory reporting in financial services.
- Excellent problem-solving, leadership, and communication skills for collaborating with teams and explaining technical concepts to non-technical stakeholders.
Benefits
If you want to be part of a dynamic team of professionals, we invite you to join the team at Treliant. We invest in people, and challenge you to advance your career while achieving your aspirations and goals. Here at Treliant, we pride ourselves on our collaborative team culture, where we embrace diversity of thought and innovation.
Career Development – We put an emphasis on personal and professional growth by providing all the training you’ll need to become a highly skilled Treliant consultant. Programs cover Finance, Regulatory, Technology, and Operational aspects of investment banking.
Clients – As a Treliant consultant, you will be working with some of the top clients in the financial services marketplace such as top tier Investment Banks. Our roles place you at the cutting edge of the projects on which you’ll be working, and giving you the opportunity to learn from, work with and build relationships with the very best within those companies.
Rewards – Treliant offers our permanent staff an excellent total rewards package, including competitive base salary, incentive schemes, flexible healthcare coverage and our company pension scheme.
Core Values – Whether you are a Client or an employee, Treliant wants the best for you. All our relationships are based on our Core Values: Deliver Excellence, Constantly Innovate, Treasure Diversity, Be Nimble, Listen First, and Develop our People.
Right to Work
Treliant is not in the position to provide sponsorship for this current position and so applicants must be able to work in the United Kingdom without requiring sponsorship.
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Databricks Engineer employer: Treliant, LLC
Contact Detail:
Treliant, LLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Databricks Engineer
✨Tip Number 1
Familiarize yourself with the specific tools and technologies mentioned in the job description, such as Databricks, Spark, SQL, Python, and PySpark. Having hands-on experience or projects showcasing your skills with these technologies will make you stand out.
✨Tip Number 2
Network with professionals in the financial services sector, especially those who work with data engineering and analytics. Engaging with industry experts can provide insights into the role and may lead to referrals or recommendations.
✨Tip Number 3
Stay updated on the latest trends and best practices in data governance and compliance within the financial services industry. This knowledge will not only help you in interviews but also demonstrate your commitment to the field.
✨Tip Number 4
Prepare to discuss real-world scenarios where you've successfully implemented ETL processes or migrated legacy systems to cloud environments. Being able to articulate your problem-solving approach will impress potential employers.
We think you need these skills to ace Databricks Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks, ETL/ELT pipeline design, and any relevant financial services background. Use specific examples to demonstrate your skills and achievements.
Highlight Relevant Skills: Emphasize your proficiency in SQL, Python, and PySpark, as well as your experience with streaming technologies like Kafka. Mention any projects where you successfully implemented data governance or compliance standards.
Showcase Problem-Solving Abilities: Include examples of how you've tackled complex data challenges in previous roles. Highlight your leadership and communication skills, especially in cross-functional team settings.
Express Interest in Future Opportunities: In your application, convey your enthusiasm for being part of Treliant's Talent Pool community. Mention your eagerness to contribute to their innovative projects in the financial services sector.
How to prepare for a job interview at Treliant, LLC
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Databricks, SQL, Python, and PySpark in detail. Highlight specific projects where you designed and implemented ETL processes or data pipelines, as this will demonstrate your hands-on expertise.
✨Understand Financial Services Context
Familiarize yourself with the financial services sector, including compliance and regulatory challenges. Be ready to explain how your technical skills can help address these issues, as this aligns with the company's focus on providing solutions to their clients.
✨Emphasize Collaboration Experience
Since the role involves working with cross-functional teams, share examples of how you've successfully collaborated with data scientists, analysts, and business stakeholders. This will show that you can communicate technical concepts effectively to non-technical team members.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities, especially in relation to data integrity, security, and performance optimization. Think of scenarios where you overcame challenges in data migration or integration, and be ready to discuss your thought process.