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lavori da Computer Science in località Regno Unito

Senior Software Engineer

SciLeads

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GBP 60.000 - 80.000
25 giorni fa
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Senior Software Engineer
SciLeads
Remoto
GBP 60.000 - 80.000
Tempo pieno
26 giorni fa

Descrizione del lavoro

A fast-growing SaaS company is looking for a Senior Software Engineer based in the United Kingdom. This role involves ownership of the software development life cycle, managing large-scale data projects, and leading technical initiatives. With at least 5 years of experience in C# and .NET, candidates will drive the technical vision of the company. Join a supportive remote team focused on continuous improvement and career growth. Enjoy benefits like flexible working culture and additional perks such as a home office allowance.

Servizi

£750 home office allowance
A day off for your birthday
Women in Business NI Membership
Flexible working culture
Quarterly meet ups
Virtual office to hang out with colleagues

Competenze

  • At least 5 years of post-education experience in C# and .NET software development.
  • Proficiency in handling large-scale datasets using appropriate languages, frameworks, tools.
  • Proven track record of delivering complex technical projects.

Mansioni

  • Ownership of the full software development life cycle.
  • Manage and wrangle a database with over one billion records.
  • Ensure efficient data handling and aggregation.

Conoscenze

C#
.NET
Data Engineering
Project Leadership
Problem-Solving
Communication
Time Management
Leadership
System Design
Collaboration
Continuous Learning

Formazione

Degree in Computer Science, Math, Statistics, Data Engineering or related field

Strumenti

React
AWS
SQL
Elasticsearch
Jira
Descrizione del lavoro

SciLeads is a remote, fast-growing SaaS company focused on providing market and sales intelligence to the life science and pharmaceutical industry. We’re an award winning company, and have been listed as one of Deloitte’s fastest growing tech companies for four years in a row. We are passionate about putting people first and committed to creating an outstanding employee experience as a remote working company. Come grow your career with us!

About the Role:

SciLeads is seeking an experienced Senior Software Engineer who is passionate about software development and data engineering, with extensive experience in managing large-scale data projects and leading development initiatives. You will report directly into the VP of Engineering and will be instrumental in driving technical vision, development, and deployment of the SciLeads platform.

Key Responsibilities:
  • Ownership of the full software development life cycle.
  • Work with cloud-based architecture focusing on scalability and performance.
  • Data engineering and integration: Manage and wrangle a database with over one billion records, ensuring efficient data handling and aggregation.
  • Address data challenges by implementing robust data engineering practices.
  • Project management.
  • Code quality reviews and team collaboration.
  • Adopt a customer-first approach: Maintain a strong focus on customer needs and be relentless about delivering value.
Essential Skills and Experience:
  • Experience: At least 5 years of post-education experience in C# and .NET software development.
  • Data Engineering: Proficiency in handling large-scale datasets using appropriate languages, frameworks, tools, workflows and patterns.
  • Project Leadership: Proven track record of designing, refining, managing, leading, and delivering at least three complex technical projects from inception to completion.
  • Problem-Solving: Demonstrated ability to solve complex data challenges and significantly improve data handling processes.
  • Communication: Ability to effectively communicate with stakeholders, provide project updates and technical insights on complex projects.
  • Time Management: Excellent time management and organizational skills. Comfortable prioritizing work across multiple concurrent projects.
  • Leadership: Experience mentoring intermediate engineers and leading on complex technical projects.
  • System Design: Expertise in scalable system design and architecture.
  • Collaboration: Demonstrated ability to work effectively within a fully remote team and awareness of how your behaviour impacts those around you.
  • Continuous Learning: Commitment to continuous learning and growth.
  • Location: Must be based in the United Kingdom.
Desirable Skills and Experience:
  • A degree in Computer Science, Math, Statistics, Data Engineering or a related field.
  • Experience using React.
  • Experience with AWS.
  • Machine learning and AI experience.
  • Startup or Scaleup experience.
  • .NET Core & C#.
  • SQL.
  • Elasticsearch.
  • Jira.
  • AI platforms and APIs.
  • Fully remote working.
  • £750 home office allowance.
  • A day off for your birthday!
  • Women in Business NI Membership.
  • A truly flexible working culture.
  • Quarterly meet ups.
  • Virtual office to hang out with colleagues.

SciLeads is an equal opportunities employer, we welcome and encourage applications of all nationalities, backgrounds and genders. This job posting is for an active position in SciLeads.

Our application process is designed to be quick and easy! We value your time, so we won’t ask you to rewrite your CV. All we ask is that you upload your CV and fill in all the mandatory fields. Any additional fields are for you to provide us with more information if you wish to do so.

This company has demonstrated its commitment to being:
Respectful
Provides candidates with inclusive and positive experiences
Communicative
Sends timely application and interview updates

Interested in building your career at SciLeads? Get future opportunities sent straight to your email.

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* Il benchmark retributivo si basa sugli obiettivi retributivi dei leader del mercato nei rispettivi settori. È pensato per orientare gli utenti Premium nella valutazione delle posizioni aperte e aiutarli a negoziare la propria retribuzione. Tale benchmark non è fornito direttamente dall'azienda, quindi la retribuzione effettiva potrà risultare anche notevolmente superiore o inferiore.

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