Senior Azure Data Engineer (Databricks)

Senior Azure Data Engineer (Databricks)

Joining Capco means joining an organisation that is committed to an inclusive working environment where you’re encouraged to #BeYourselfAtWork. We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It’s important to us that we recruit and develop as diverse a range of talent as we can, and we believe that everyone brings something different to the table – so we’d love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help.

Why Join Capco?

Capco is a global technology and business consultancy, focused on the financial services sector. We are passionate about helping our clients succeed in an ever-changing industry.

You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry.

We are/have:

• Experts across the Capital Markets, Insurance, Payments, Retail Banking and Wealth & Asset Management domains.
• Deep knowledge in various financial services offerings including Finance, Risk and Compliance, Financial Crime, Core Banking etc.
• Committed to growing our business and hiring the best talent to help us get there.
• Focused on maintaining our nimble, agile, and entrepreneurial culture.

We offer:

• A work culture focused on innovation and building lasting value for our clients and employees.
• Ongoing learning opportunities to help you acquire new skills or deepen existing expertise.
• A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients.
• A diverse, inclusive, meritocratic culture.
• Enhanced and competitive family friendly benefits, including maternity / adoption / shared parental leave and paid leave for sickness, pregnancy loss, fertility treatment, menopause, and bereavement.

Data Engineering at Capco

• You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry.
• You’ll be part of a digital engineering team that develop new and enhance existing financial and data solutions, having the opportunity to work on exciting greenfield projects as well as on established Tier1 bank applications adopted by millions of users.
• You’ll be involved in digital and data transformation processes through a continuous delivery model.
• You will work on automating and optimising data engineering processes, develop robust and fault tolerant data solutions both on cloud and on-premise deployments.
• You’ll be able to work across different data, cloud and messaging technology stacks.
• You’ll have an opportunity to learn and work with specialised data and cloud technologies to widen the skill set.

A day in the life of a Data Engineer at Capco

• Working alongside clients to interpret requirements and define industry-leading solutions.
• Designing and developing robust, well tested data pipelines.
• Demonstrating and helping clients adhere to best practices in engineering and SDLC.
• Building event-driven, loosely coupled distributed applications.
• Developing both on-premise and cloud-based solutions.
• Supporting internal Capco capabilities by sharing insight, experience and credentials.

About you

Capco is looking for hardworking, innovative, and creative people to join our Digital Engineering team.

We'd also like to see:

• Practical experience of engineering best practices, while being obsessed with continuous improvement.
• Deep technical knowledge of two or more technologies and a curiosity for learning other parts of the stack.
• Experience delivering software/technology projects leveraging Agile methodologies.
• You have personally made valuable contributions to products, solutions and teams and can articulate the value to customers.
• You have played a role in the delivery of critical business applications and ideally customer facing applications.
• You can communicate complex ideas to non-experts with eloquence and confidence.
• You bring an awareness and understanding of new technologies being used in finance and other industries and loves to experiment.
• A passion for being part of the engineering team that is forming the future of finance.

Skills & Expertise: 

You will have experience working with some of the following Methodologies/Technologies.

• Excellent experience in the Data Engineering Lifecycle, you will have created data pipelines which take data through all layers from generation, ingestion, transformation and serving.
• Experience of modern Software Engineering principles and experience of creating well tested, clean and applications.
• Enthusiasm and ability to pick up new technologies as needed to solve problems.
• Hands on working experience of the Databricks platform, must have experience of delievering projects which use DeltaLake, Orchestration, Unity Catalog, Spark Structured Streaming on Databricks.
• Experience with Data Lakehouse architecture and data warehousing principles, experience with Data Modelling, Schema design and using semi-structured and structured data.
• Extensive experience using Python, Pyspark and the Python Ecosystem with good exposure to python libraries, Proficient in SQL, Experience Developing in other languages e.g. Scala/Java.
• Experience with Big Data technologies and Distributed Systems such as Hadoop, HDFS, HIVE, Spark, Databricks, Cloudera.
• Experience developing near real time event streaming pipelines with tools such as – Kafka, Spark Streaming, Azure Event Hubs.
• Good understanding of the differences and trade-offs between SQL and NoSQL, ETL and ELT.
• Proven experience DevOps and using building robust production datapipelines, CI/CD Pipelines on e.g. Azure DevOps, Jenkins, CircleCI, GitHub Actions etc.
• Exposure to working with PII, Sensitive Data and understands data regulations such as GDPR.

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