Data Engineer - Snowflake

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

Job summary

An innovative tech consultancy is seeking a Data Engineer to join their growing team. This role offers the opportunity to work with cutting-edge technologies and diverse projects, leveraging your expertise in data warehousing, cloud platforms, and programming languages. You'll contribute to building scalable data solutions that empower clients to make data-driven decisions. With a collaborative culture and a commitment to professional development, this position is perfect for those looking to make a significant impact in the tech industry. Join a team that values creativity and continuous learning!

Qualifications

• 2+ years designing full-scale data warehouse solutions using Snowflake.
• Experience with architectural assessments and stakeholder collaboration.

Responsibilities

• Build and maintain data applications and systems for business value.
• Work with cloud technologies and streaming data for insights.

Skills

Python

Java

Scala

SQL

ETL/ELT pipelines

Cloud platforms (AWS, Azure, GCP)

Data warehousing (Snowflake)

Orchestration tools (Airflow, Dagster)

Job description

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About Us

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 will need:

• Minimum of two years of recent experience designing and implementing a full-scale data warehouse solution based on Snowflake
• A minimum of one year of performing architectural assessments, examining architectural alternatives, and choosing the best solution in collaboration with both IT and business stakeholders
• Fluent in Python, Java, Scala, or similar Object-Oriented Programming Languages
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
• Working knowledge of one or more of the cloud platforms (AWS, Azure, GCP)
• Experience building ETL/ELT pipelines specifically using DBT for structured and semi-structured datasets
• Any orchestration toolings such as Airflow, Dagster, Azure Data Factory, Fivetran etc

It will be nice to have:

• Software engineering background
• Exposure to building or deploying AI/ML models into a production environment
• Previously used AWS data services e.g. S3, Kinesis, Glue, Athena, DynamoDB, SNS/SQS
• Experience using any data streaming technologies/paradigms for real-time or near-real time analytics

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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