Senior Data Engineer

Senior Data Engineer | Northampton | Hybrid (1 day a week in) | £60-70k + bonus + benefits

We are thrilled to be recruiting for a Senior Data Engineer on behalf of our client, an innovative and ambitious company making strides in the financial services sector. This is a fantastic opportunity for an experienced data engineer to join a forward-thinking business at a pivotal time, taking the lead on transforming their data infrastructure and playing a crucial role in shaping the future of the company’s data strategy.

The Role

As Senior Data Engineer, you’ll be at the heart of a major project to rebuild and modernise the company’s data infrastructure from the ground up. This role offers a unique chance to have a lasting impact, moving the organisation away from legacy systems and into the future with a cutting-edge data platform.

Your core responsibility will be to design, build, and maintain data pipelines and infrastructure that can support the company’s current and future data needs. You will work with modern data warehouse technologies such as Snowflake, BigQuery, or Redshift, selecting the right tools to meet the organisation's needs. You’ll establish standards for data quality and integrity, ensuring the business has access to reliable, high-quality data at all times.

Key Responsibilities

1. Designing and developing modern data architecture from scratch.
2. Implementing data pipelines and warehouse solutions to support analytics, reporting, and machine learning.
3. Ensuring the highest standards of data quality, integrity, and availability across the organisation.
4. Collaborating with various teams to translate business requirements into technical solutions.
5. Creating comprehensive documentation of data processes and systems.

What We're Looking For

The ideal candidate will have substantial experience in data engineering within cloud environments and a solid understanding of ETL/ELT processes, data modelling, and CI/CD pipelines. You should be well-versed in working with cloud-native architectures and have hands-on experience with one or more data warehouse solutions like Snowflake, BigQuery, or Redshift.

Experience in workflow automation tools such as Airflow, Luigi, or DBT is highly desirable, alongside expertise in infrastructure-as-code tools like Terraform or Pulumi. Strong communication skills are essential, as you will be working closely with non-technical stakeholders, translating complex technical concepts into understandable terms.