Stellenbeschreibung:

This position is posted by Jobgether on behalf of Dotdigital. We are currently looking for a Principal Data Engineer in the United Kingdom.

We are seeking an accomplished data engineering leader to shape the next generation of our data platform and capabilities. In this role, you will architect and deliver scalable, secure, and intelligent data systems that enable real-time services, advanced analytics, and impactful decision-making. Working across the full data lifecycle, you will guide how data is collected, processed, and consumed to unlock business value. You will partner with cross-functional teams — including product, analytics, and data science — to deliver reliable, high-performance solutions. This is an opportunity to influence the technical direction of large-scale initiatives, mentor teams, and drive innovation in a dynamic and forward-looking environment.

Accountabilities

• Lead the design and implementation of resilient, scalable data systems across streaming, batch, and real-time use cases.
• Architect data pipelines, models, and storage solutions leveraging Python, SQL, and cloud-based orchestration tooling.
• Apply AI and automation to optimize data engineering processes and improve performance.
• Establish and enforce best practices around data governance, infrastructure, security, and observability.
• Partner with engineers, analysts, and product teams to ensure coherent delivery of data-driven features and services.
• Champion the adoption of data engineering principles and mentor team members.
• Evaluate, validate, and promote new technologies to enhance data platform stability and scalability.

Requirements

• Extensive experience delivering Python-based projects within the data engineering domain.
• Strong background in SQL and NoSQL databases such as SQL Server, MongoDB, or Cassandra.
• Proven expertise with modern data warehousing and large-scale processing tools such as Snowflake, DBT, BigQuery, or ClickHouse.
• Hands-on experience with orchestration frameworks (Airflow, Dagster, or Prefect).
• Proficiency in cloud environments (Azure, AWS, or GCP) for large-scale data processing and storage.
• Experience with event-driven architectures like Kafka, AWS Kinesis, or Azure EventHubs.
• Solid understanding of data architecture and modeling for OLAP and OLTP workloads.
• Familiarity with agile methodologies, CI/CD, and modern software development practices.
• Demonstrated leadership as a Principal or Lead Engineer on large-scale initiatives, including platform modernization or cloud migrations.
• Bonus: Experience with ClickHouse or Databricks.

Benefits

• Competitive salary with performance-based rewards.
• Fully remote working model within the UK.
• Comprehensive medical coverage and paid sick leave.
• Parental leave and enhanced family-friendly policies.
• Wellness rewards, wellbeing days, and flexible working culture.
• Annual loyalty and share rewards recognizing long-term contributions.
• Inclusive, supportive environment committed to diversity, equity, and belonging.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly:
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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NOTE / HINWEIS:

EN: Please refer to Fuchsjobs for the source of your application

DE: Bitte erwähne Fuchsjobs, als Quelle Deiner Bewerbung