Remote Data Jobs · Data Warehousing

As a Data Engineer, your primary responsibility is to design, build, and support modern data solutions using AWS by developing scalable ELT pipelines and data marts that serve both internal analytics teams and external reporting needs. In addition to building new solutions, you’ll also maintain and enhance legacy data pipelines that span both on-premises and cloud environments within a collaborative team.

Seeking a Mid QA Engineer to focus on Data & ETL Testing. Requires strong understanding of Data Warehousing (DW), ETL, and Data Quality concepts. Proficiency in SQL, RDBMS, and ETL validation. Experience validating reports and dashboards is needed.

As an Airtable’s Analytics Engineer, you will play a crucial role in shaping the future of Airtable by deepening our understanding of our product and partnering with Sales, Sales Ops, and engineers. Analytics Engineers build the data foundation for reporting, analysis and experimentation. Using SQL, DBT, and Looker, you will transform data from data warehouse tables into critical self-serve data artifacts that power impactful analytic use cases and empower data consumers.

Shape the future of how businesses and consumers interact, contributing to innovative solutions that provide a unified view of guest transactions across online and offline channels. Work on projects that have the potential to make a lasting impact, designing, implementing, and optimizing robust data workflows that enable both customers and internal teams to make smarter, faster decisions.

Be a hands-on leader in building a discipline of exceptional analytics engineers working to make Data at Monzo the gold standard within the industry. Nurture between 5 to 6 analytics engineers, supporting, coaching and developing high performing engineers through regular 1:1s, continuous feedback and relationships with others. Aid prioritisation of initiatives and projects, working closely with other leads for each of our Monzo collectives.

The Analytics Engineer will partner with Data teams and Data Engineering to conceptualize, design/model, and implement Analytics and Business Intelligence Solutions to our data/metrics platform, serving as the go-to person for data development for internal analytics.

The ideal candidate will have a proven track record in implementing data ingestion and transformation pipelines for large scale organisations. We are seeking someone with deep technical skills in a variety of technologies to play an important role in developing and delivering early proofs of concept and production implementation.

The Data & AI Senior Consultant is responsible for being a partner to team members, a mentor, and directly enabling growth of the Data & AI Services team at MCA. The Sr. Consultant is expected to lead project implementations, drive innovation, upskill and mentor junior teammates, and partner with leadership to drive continuous improvement. Within a project framework, the Data & AI Senior Consultant is responsible for building client relationships