Lead Data Engineer

BJSS; Greater London; On-site; GBP 50,000 - 55,000; Full time

Job summary

Join a forward-thinking tech consultancy that has been recognized for its innovative approach to solving complex technology problems. As a Data Engineer, you'll work on exciting projects in the cloud, utilizing cutting-edge tools like Databricks and Snowflake. You'll be part of a collaborative team that values creativity and problem-solving, allowing you to grow your skills while making a real impact. This is an excellent opportunity to contribute to high-profile projects and help clients leverage their data for strategic decisions. If you're passionate about data engineering and eager to take on new challenges, this role is perfect for you.

Qualifications

• Experience in writing complex queries against relational and non-relational data stores.
• Strong proficiency in Python and SQL, with a focus on clean and maintainable code.

Responsibilities

• Build and maintain scalable data applications and systems.
• Optimize and deliver data solutions that provide business value.

Skills

Python programming

SQL

OOP principles

Data versioning

Query optimization

Complex queries

Tools

Databricks

Snowflake

Microsoft Fabric

Job description

1 week ago Be among the first 25 applicants

We’re an award-winning innovative tech consultancy - a team of creative problem solvers. Since 1993 we’ve been finding better, more sustainable ways to solve complex technology problems for some of the world’s leading organisations and delivered solutions that millions of people use every day.

In the last 30 years we won several awards, including a prestigious Queen’s Award for Enterprise in the Innovation category for our Enterprise Agile delivery approach.

Operating from 26 locations across the world, we bring together teams of creative experts with diverse backgrounds and experiences, who enjoy working and learning in our collaborative and open culture and are committed to world-class delivery.

We want to continue to grow our team with people just like you!

About the Role

We're building out our Data Engineering practice across multiple levels. Depending on your experience and aspirations, you could be contributing as a key team member, leading a dedicated team, or taking on principal engineer responsibilities across multiple teams and larger strategic projects. The role and responsibilities will be tailored to your experience level and our organisational needs.

We are Software Engineers who use SDLC best practices to build scalable, re-usable data solutions to help clients use their data to gain insights, drive decisions, and deliver business value. Clients engage BJSS to take on their complex challenges, looking to us to help deliver results against their business-critical needs which means we get to work with a wide range of tools and technologies and there are always new things to learn.

BJSS Data Engineers are specialist software engineers that build, optimise, and maintain data applications, systems and services. This role combines the discipline of software engineering with the knowledge and experience of building solutions to deliver business value.

You can expect to get involved in a variety of projects in the cloud (AWS, Azure, GCP), while also gaining opportunities to work with Snowflake, Databricks, BigQuery, and Fabric. We work with near real-time/streaming data, geospatial data and using modern AI-tooling to accelerate development.

About You

You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications, systems, services, and platforms. You will have experience across multiple projects and several of the following skills:

• You have a good understanding of coding best practices and design patterns, and experience with code and data versioning, dependency management, code quality and optimisation, error handling, logging, monitoring, validation, and alerting
• You have experience in writing complex queries against relational and non-relational data stores
• Strong proficiency in Python programming, with a solid understanding of object-oriented programming (OOP) principles, best practices, and a commitment to writing clean, maintainable, and well-tested code
• Excellent SQL skills, including the ability to write complex queries, optimise query performance, and design efficient database schemas
• Familiarity with one or more data platform technologies such as Databricks, Snowflake, and/or Microsoft Fabric.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  IT Services and IT Consulting

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