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 in banking and payments, capital markets and wealth and asset management
Deep knowledge in financial services offering, including e.g. 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

As a Data Engineer at Capco you will:

Work alongside clients to interpret requirements and define industry-leading solutions
Design and develop robust, well tested data pipelines
Demonstrate and help clients adhere to best practices in engineering and SDLC
Excellent knowledge of building event-driven, loosely coupled distributed applications
Experience in developing both on-premise and cloud-based solutions
Good understanding of key security technologies, protocols e.g. TLS, OAuth, Encryption
Support internal Capco capabilities by sharing insight, experience and credentials

Why Join Capco as a Data Engineer?

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 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.

Skills & Expertise:

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

Required Skills

Hands on working experience of the Databricks platform. Must have experience of delivering projects which use DeltaLake, Orchestration, Unity Catalog, Spark Structured Streaming on Databricks.
Extensive experience using Python, PySpark and the Python Ecosystem with good exposure to python libraries.
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.
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.
Experience with Data Lakehouse architecture and data warehousing principles, experience with Data Modelling, Schema design and using semi-structured and structured data.
Proficient in SQL & good understanding of the differences and trade-offs between SQL and NoSQL, ETL and ELT.
Proven experience DevOps and using building robust production data pipelines, CI/CD Pipelines on e.g. Azure DevOps, Jenkins, CircleCI, GitHub Actions etc.

Desirable Skills

Experience Developing in other languages e.g. Scala/Java.
Enthusiasm and ability to pick up new technologies as needed to solve problems.
Exposure to working with PII, Sensitive Data and understands data regulations such as GDPR.

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Azure Data Engineer (Databricks)