*hiring on behalf of our client

Job Title: Senior Backend/Data Engineer

Location: Remote

Job Type: Full-Time (UK Hours)

Compensation: $4,500/m USD

About Us

We are on a mission to innovate and build cutting-edge data systems that drive our business forward. We are looking for a talented and passionate Backend/Data Engineer who is eager to design and implement systems that handle large-scale data and deliver insights in real-time.

Job Description

As a Backend/Data Engineer, you will be responsible for designing, building, and maintaining the core data infrastructure that powers our applications and services. You will work closely with cross-functional teams to understand their data needs and provide robust solutions. Your expertise in Elasticsearch, real-time data platforms, and API development will be crucial in ensuring our systems are efficient, scalable, and reliable.

Key Responsibilities

• Design, develop, and maintain robust data pipelines and systems to support large-scale data processing.
• Implement and manage Elasticsearch clusters to ensure high availability and performance.
• Develop scalable APIs that leverage the full potential of Elasticsearch and other data stores.
• Work with real-time data platforms such as Tinybird to deliver timely insights and analytics.
• Create and optimize recommendation systems to enhance user experience and engagement.
• Integrate modern Large Language Models (LLMs) such as GPT and Gemini into our data workflows.
• Design and manage relational databases, particularly PostgreSQL, ensuring data integrity and performance.
• Collaborate with key stakeholders to understand requirements and deliver solutions.
• Ensure data security and compliance with relevant regulations and best practices.
• Continuously monitor, troubleshoot, and improve data systems to maintain optimal performance.

Qualifications

• Proven experience in backend development/data engineering.
• Expertise in Elasticsearch or similar search technologies.
• Proficiency in building and maintaining real-time data platforms like Tinybird.
• Strong experience in developing scalable APIs.
• Hands-on experience with recommendation systems and machine learning models.
• Familiarity with modern LLMs such as GPT, Gemini, etc.
• Deep understanding of relational databases, particularly PostgreSQL.
• Proficiency in programming languages such as Python, Typescript, Java, or Go.
• Experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.

Preferred Skills

• Knowledge of data warehousing solutions like Redshift, BigQuery, or Snowflake.
• Experience with ETL tools and processes.
• Familiarity with CI/CD pipelines and DevOps practices.
• Understanding of data privacy laws and best practices for data governance.
• Experience with data visualization tools such as Tableau or Looker.
• Proficiency in TypeScript.

What We Offer

• Competitive salary and benefits package.
• Opportunity to work with cutting-edge technologies and innovate.
• Collaborative and dynamic work environment.
• Professional growth and development opportunities.

Career Pathway: Head of Data

The company is committed to fostering professional growth and providing opportunities for career advancement. As a Data / Backend Engineer joining our team, you will embark on a career pathway that offers a clear trajectory towards assuming the role of Head of Data.

Key Milestones and Development Opportunities

Mastery of Engineering Skills: As a Data / Backend Engineer, you will have the opportunity to hone your skills in designing, developing, and maintaining scalable data pipelines and infrastructure. You will gain expertise in modern data tooling, workflows, and systems, including event-driven architecture and real-time data processing.

Leadership and Project Ownership: Demonstrate your ability to take ownership of data infrastructure and services by proactively identifying areas for improvement and implementing best practices for data governance, security, and compliance. Engage in collaborative projects and initiatives that showcase your leadership capabilities and strategic thinking.

Cross-Functional Collaboration: Collaborate closely with cross-functional teams to understand business requirements, design robust data pipelines, and ensure the scalability, reliability, and efficiency of data systems. Develop strong communication and interpersonal skills to effectively interface with stakeholders at all levels of the organization.

Professional Development and Continuous Learning: Take advantage of opportunities for professional development and continuous learning, including workshops, training programs, and industry conferences. Stay abreast of emerging trends and technologies in data engineering and related fields to remain at the forefront of innovation.

Transition to Leadership Roles: As you demonstrate your technical expertise, leadership skills, and contributions to the organization, you will be well-positioned to transition to leadership roles within the data engineering team. Assume increasing levels of responsibility and take on strategic initiatives that align with the company’s vision and objectives.

Promotion to Head of Data: With a proven track record of success and demonstrated leadership capabilities, you will be considered for the role of Head of Data. In this capacity, you will lead the data engineering team, drive data strategy and initiatives, and play a pivotal role in shaping the future of data-driven decision-making at the company.

We recognize the importance of nurturing talent and empowering individuals to reach their full potential. Join us on this exciting journey as we shape the future of Sales together and unlock new opportunities for professional growth and career advancement in the field of data engineering.