Engineering Manager (Data Processing)

We are a remote-first, international SaaS company helping businesses maximise their revenue potential in Europe and the US with our Go-To-Market SaaS Platform. We are the successful merger of Leadfeeder and Echobot, bringing two industry leaders together.

What makes us unique? With origins in Finland and Germany, the country with the highest privacy standards in Europe, Dealfront was born with compliance and transparency in its DNA. This ensures that our users know exactly where their data originated. Compliance does not affect companies' earnings.

We have a team of over 270 across 40 countries globally. Join us and help us continue our mission to be the leading Go-To-Market platform that helps B2B companies win deals in Europe.

Position Overview

Dealfront is excited to be experiencing a level of growth where we are seeking an Engineering Manager to join our Data Processing team. This role involves leading a team of 4 whilst also playing a part as an individual contributor helping to achieve company goals.

Responsibilities

• Effectively manage the team including all aspects of objective planning, providing technical input, monitoring execution, performance reviews etc.
• Collaborate with product management and lead team to fulfil company goals
• Building strong relationships with stakeholders to understand their data needs and requirements.
• Act as individual contributor to support the team’s output

Requirements

Qualifications:

• 5 Years experience in Data Engineering, including working with big Data
• At least 2 years experience leading data engineering teams
• Bachelor’s degree in Computer Science, Engineering or comparable
  
  

Skills:

• Data Engineering expertise with two of the following: Python, Rust, PHP
• Solid SQL and Data Analytics knowledge
• Experience with any of: Kafka, Redis, Solr/Elasticsearch, Postgres
• Experience with relational and non-relational databases
• Attention to detail and strong problem solving skills
• Experience managing, monitoring and troubleshooting production grade data pipelines
• Knowledge of data governance practices, data quality management, data privacy regulations (e.g., GDPR, CCPA) and data security measures
• Ability to present data insights and recommendations clearly and effectively
• Ability to manage and resolve conflicts within the team or with external stakeholders effectively
• Excellent communication & interpersonal skills
• Strong organisational skills to manage multiple projects
• Willingness to self educate and fill gaps in required knowledge
• Openness to feedback and ability to adapt to changing circumstances

Nice to have:

• DevOps, Prometheus, Grafana
• K8S, Helm-Charts, Argo Workflows/ArgoCD
• Experience with AWS
• Gitlab
• Experience with Data Mesh

Benefits

• The chance to work with a very knowledgeable, high-achieving and fun team
• An international, diverse, dynamic and committed work environment
• The opportunity to work remotely, with a flexible work schedule
• Mental Health support with Auntie
• Personal budget for home office equipment
• Company retreats - we’ve recently returned from a week in Germany
• Personal development plans as standard, allowing you to develop the skills you think are most important to succeed in your role, as well as regular 1-1s and group training.

We encourage all interested candidates to apply, even if you don't meet all of the criteria listed.

We value diversity and inclusion in our workplace and welcome applications from candidates across all backgrounds and do not discriminate on the basis of race, religion, gender, sexual orientation, age, marital status, disability or any other protected characteristics.