Senior Databricks Data Engineer

Senior Databricks Data Engineer

Adderbury Full-Time 50000 - 70000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead the development of data solutions and manage a small team in an Agile environment.
  • Company: Bibby Financial Services supports over 9000 SMEs globally, fostering growth and innovation.
  • Benefits: Enjoy private healthcare, flexible benefits, 25 days holiday, and a company car allowance.
  • Why this job: Join a dynamic team that values creativity, collaboration, and personal growth in a fast-paced environment.
  • Qualifications: Bachelor's or Master's in Computer Science or relevant experience; expertise in Databricks and cloud platforms required.
  • Other info: This hybrid role offers flexibility and a commitment to inclusivity in the workplace.

The predicted salary is between 50000 - 70000 £ per year.

Senior Databricks Data Engineer (flexible location) Bibby Financial Services have an exciting opportunity available for a reliable Senior Databricks Data Engineer to join our team. You will join us on a full time, permanent basisand in return, you will receive a competitive salary of £60,000 – £70,000 per annum. About the role: As our Senior Databricks Data Engineer, you will operate within an Agile delivery environment, working closely with the Data Product Manager and Data Architect to ensure your team maintains a pipeline of delivery against the Backlog; providing vital insight from our wide-ranging dataset to support executive and operational decision making that will underpin sustained growth of BFS business units domestically and internationally. You will have an active leadership role in determining and developing the shape of your teams solution delivery against business requirements, as well as helping to inform and input into the wider technical architecture and strategy. This is very much a hands-on role, where the majority of your time will be spent actively developing solutions. You will also have management responsibilities for a small team of Data Engineers, who you will coach, support and organise to ensure we sustain a predictable pipeline of delivery, whilst ensuring all appropriate governance and best practice is adhered to. Your responsibilities as our Senior Databricks Data Engineer will include: Understand the business / product strategy and supporting goals with the purpose of ensuring data interpretation aligns Provide technical leadership on how to break down initiatives into appropriately sized features, epics and stories that balance value and risk. Take a leadership role on setting standards, driving quality and consistency in solution delivery Work closely with the Data Architect to collaborate on Design of our data architecture and interpret into a build plan Lead the build and maintenance of scalable data pipelines and ETL processes to support data integration and analytics from a diverse range of data sources, Cloud storage, databases and APIs Deliver large-scale data processing workflows (ingestion, cleansing, transformation, validation, storage) using best practice tools and techniques Collaborate with the BI Product Owner, analysts, and other business stakeholders to understand data requirements and deliver solutions that meet business needs Optimize and tune data processing systems for performance, reliability, and scalability Implement data quality and validation processes to ensure the accuracy and integrity of data throughout the pipelines Operate an agile CI/CD environment within Azure DevOps, collaborating on Sprint cycles, code deployment, version control, and development practices Develop and maintain data models, schemas, and documentation Monitor and troubleshoot data pipeline issues, ensuring timely resolution Stay up-to-date with the latest industry trends and technologies in data engineering and recommend improvements to existing systems or processes as appropriate Ensure adherence to BFS Governance processes Provide line management and technical leadership to a small team of Data Engineers Work closely with the Data Architect to collaborate on Design of our data architecture and interpret into a build plan Lead the build and maintenance of scalable data pipelines and ETL processes to support data integration and analytics from a diverse range of data sources, Cloud storage, databases and APIs Deliver large-scale data processing workflows (ingestion, cleansing, transformation, validation, storage) using best practice tools and techniques What we are looking for in our ideal Senior Databricks Data Engineer: A Bachelor\’s or Master\’s degree in Computer Science, Engineering, or a related field. Alternatively, relevant experience in the data engineering field Databricks, including Unity Catalog Terraform, defining, deploying, and managing cloud infrastructure as code Proficiency in programming languages such as Python, Spark, SQL Strong experience with SQL databases Expertise in data pipeline and workflow management tools (e.g., Apache Airflow, ADF) Experience with cloud platforms (Azure preferred) and related data services Excellent problem-solving skills and attention to detail Inclusive and curious, continuously seeks to build knowledge and understanding Strong communication and collaboration skills. Experience of Waterfall and Agile delivery methodologies As our Senior Databricks Data Engineer , we will reward you and your hard work with: Private healthcare for you and your family Company car allowance Company pension scheme Wide range of flexible benefits, such as gym membership, technology, or health assessments Access to an online wellbeing centre Range of discounts from many businesses 25 days holiday, which increases with servic,e and options to buy or sell more Electric Vehicle/Plug-in Hybrid Vehicle (EV/PHEV) scheme Why us? We\’ve supported small and medium-sized enterprises (SMEs) since 1982, and today we support more than 9000 businesses worldwide. We are proud to help businesses, both big and small to grow and thrive in domestic and international markets. We\’re in the business of relationships. Whether working together or supporting our clients, that\’s what makes us stand out from the crowd. We know our value lies in our brilliant people, It is fast-paced and varied, and we can handle it. We trust each other, take ownership, work flexibly, have fun and deliver for our clients every time. We empower our colleagues to be themselves and grow in the way they want – we believe in them and celebrate their success. There\’s no place quite like BFS and we\’re proud of that. It\’s all down to our colleagues – they make us the business with which every SME wants to partner. If you would like to join us, please click ‘ Apply \’ today to be considered as our Senior Databricks Data Engineer – we would love to hear from you! This role will be hybrid and can be based in any of our UK offices. We\’re absolutely committed to being a truly inclusive place to work, where everyone has an equal opportunity to reach their true potential. Let us know if you need adjustments to support you through any stage of the recruitment process. We reserve the right to close applications early. No agencies, please. TPBN1_UKTJ

Senior Databricks Data Engineer employer: Bibby Financial Services

Bibby Financial Services is an exceptional employer that values its employees by offering a competitive salary, private healthcare, and a range of flexible benefits tailored to support your well-being. With a strong emphasis on personal growth and a collaborative work culture, you will have the opportunity to lead a small team while working in a dynamic Agile environment that fosters innovation and creativity. Join us in our mission to empower SMEs globally, where your contributions will be recognised and celebrated.
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Contact Detail:

Bibby Financial Services Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Databricks Data Engineer

✨Tip Number 1

Familiarise yourself with Databricks and its features, especially Unity Catalog and Terraform. Being able to discuss how you've used these tools in past projects will show your expertise and readiness for the role.

✨Tip Number 2

Brush up on your knowledge of Azure DevOps and CI/CD practices. Highlighting your experience with agile methodologies and how you've successfully implemented them in previous roles can set you apart from other candidates.

✨Tip Number 3

Prepare to discuss your leadership style and how you've managed teams in the past. Since this role involves coaching and supporting a small team of Data Engineers, showcasing your ability to lead effectively will be crucial.

✨Tip Number 4

Stay updated on the latest trends in data engineering and be ready to share insights during your interview. Demonstrating your passion for continuous learning and improvement will resonate well with our team.

We think you need these skills to ace Senior Databricks Data Engineer

Databricks
Unity Catalog
Terraform
Cloud Infrastructure as Code
Python
Spark
SQL
Apache Airflow
Azure Data Factory (ADF)
Data Pipeline Management
ETL Processes
Data Integration
Data Processing Workflows
Agile Methodologies
CI/CD Practices
Data Modelling
Problem-Solving Skills
Attention to Detail
Communication Skills
Team Leadership
Collaboration Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the job description. Focus on your expertise in Databricks, data pipelines, and any leadership roles you've held.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the company's goals. Mention specific projects or achievements that demonstrate your ability to lead and deliver solutions.

Highlight Technical Skills: Clearly list your technical skills, especially those mentioned in the job description such as Python, SQL, and Azure. Provide examples of how you've used these skills in previous roles.

Showcase Leadership Experience: Since this role involves managing a small team, emphasise any previous leadership or mentoring experiences. Discuss how you have successfully guided teams in achieving project goals.

How to prepare for a job interview at Bibby Financial Services

✨Showcase Your Technical Skills

As a Senior Databricks Data Engineer, you'll need to demonstrate your proficiency in Databricks, SQL, and Python. Be prepared to discuss specific projects where you've successfully implemented data pipelines or ETL processes, and highlight any experience with cloud platforms like Azure.

✨Understand the Business Context

Make sure you understand Bibby Financial Services' business model and how data engineering supports their goals. Be ready to explain how your work can provide insights that drive decision-making and growth for the company.

✨Emphasise Leadership Experience

Since this role involves managing a small team of Data Engineers, be prepared to discuss your leadership style and experiences. Share examples of how you've coached or supported team members in the past, and how you ensure quality and consistency in solution delivery.

✨Prepare for Agile Methodology Questions

Given the Agile environment at Bibby Financial Services, be ready to discuss your experience with Agile methodologies. Talk about how you've collaborated in sprint cycles, managed backlogs, and adapted to changing requirements in previous roles.

Senior Databricks Data Engineer
Bibby Financial Services
B
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