Senior Data Engineer

🕒 April 11

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Dotdigital

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1999

☁️ SaaS

SaaS • Marketing

Dotdigital is a marketing automation platform, established over 20 years ago, that helps brands improve their marketing engagement using innovative tools to achieve seamless and relevant customer connections. With over 400 employees worldwide, Dotdigital serves mid-market and enterprise companies across various industries, emphasizing responsible marketing and sustainability. The company is recognized as the world's first carbon-neutral marketing automation platform with certifications in ISO14001, ISO 27701, and ISO27001. Dotdigital is committed to diversity and inclusion, and actively supports initiatives for green practices, employee wellbeing, and women empowerment in the tech industry.

📋 Description

• Design and build scalable, reliable, and secure data pipelines for streaming, batch, and real-time processing. • Work in partnership with the Data Science teams to build scalable Pyspark workloads that can be leveraged to generate advanced models. • Implement and optimise data models and storage solutions using Python and SQL with orchestration tools in a cloud environment. • Leverage AI to automate both data processing and engineering processes. • Advocate and uphold best practices for data governance, security, and monitoring. • Collaborate cross-functionally with engineers, analysts, and data scientists to deliver impactful data solutions. • Mentor and support junior engineers in data engineering principles and practices. • Evaluate and recommend new tools and technologies to strengthen data services.

🎯 Requirements

• Significant experience delivering Python-based projects for data engineering. • Experience building and tuning spark pipelines that run at scale across large quantities of data. • Strong hands-on experience with SQL and NoSQL databases (e.g. SQL Server, MongoDB, Cassandra). • Proven experience with modern data warehousing and large-scale processing (e.g. Snowflake, DBT, BigQuery, Clickhouse). • Proficient with data orchestration tools such as Airflow, Dagster, or Prefect. • Experience with cloud platforms (Azure, AWS, or GCP) for data processing and storage. • Practical experience with Kafka or equivalent event-driven architectures (e.g. AWS SQS, Azure EventHubs, AWS Kinesis). • Good understanding of data modelling for OLAP and OLTP workloads. • Familiar with agile methodologies and CI/CD processes in the context of data solutions. • Experienced as a senior team member on complex data engineering projects. • Able to design and optimise data structures for high-volume systems. • Experienced in assisting with data platform modernisation or migration to the cloud. • Takes initiative to solve challenging data issues and drive projects forward.

🏖️ Benefits

• Parental leave • Medical benefits • Paid sick leave • Dotdigital day • Share reward • Wellbeing reward • Wellbeing Days • Loyalty reward • DEI commitment