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Technical Lead
The Role The Technical Lead (TL) plays a key role in leading developer teams to implement the Quantexa Platform. The TL guides and mentors the team of data engineers to solve complex technical problems. They engage with stakeholders to translate requirements into technical tasks and balance their time between hands-on programming and supporting their team’s work. The TL shepherds the project and client success. How the role fits within a team: What sort of people and skills do I need in my team? More details on requirements and responsibilities: Technical Lead Job Specification Example of what a TL does day-to-day: A Day in the Life of… a Technical Lead A general read on the TL role more broadly: Lessons from a Tech Lead: Roles, responsibilities, and words of advice How to Become a Technical Lead How I Became a... Technical Lead - Quantexa Community Meet Charlotte… My current job title is Lead Data Engineer, but this captures a variety of activities. The things I’m responsible for range from technical leadership of a project team (coordinating the Development Team and contributing to the technical work needed to deliver the Quantexa), to leading the Data Practice… Recommended Experience: Strong background grounded in data engineering, as well as proven experience leading data or software engineering teams - across a variety of complex POCs/implementations Proficient in Scala and Spark Expertise building and deploying production-level data processing batch systems, and working with cloud environments Able to debug the most complex issues making use of supporting technologies A strong technical communication ability with demonstrable experience of working in rapidly changing client environments. Gets the "right outcomes" on projects - through building trust and partnership, and strong stakeholder management Recommended Quantexa Certifications Alongside the strong experience outlined, we also recommend Technical Leads complete the academy training as recommended for Data Engineers: Quantexa Data Engineer Academy (DEA): The Quantexa Data Engineer Academy is an in-depth program aimed to teach Data Engineers how to build Quantexa Platforms. Quantexa Scoring Engineer Academy (SEA): The Quantexa Scoring Engineer Academy qualifies the individual to write key detection logic that can be implemented within the Quantexa Assess framework. Prepares You to Become: The Technical Lead role is a great foundation for many further roles including: Technical Delivery Oversight Solutions Architect Top Community Areas: Quantexa Platform Support Someone Needs Help Service Build & Transition Community Training Program User Research PanelTechnical Lead Job Specification
This job specification highlights the core activities and skills essential for Technical Leads working with the Quantexa Platform. For technical leads working with the Quantexa Platform, the tools, responsibilities, and expertise recommended to meet industry standards are outlined. For hiring managers, it serves as a framework for defining role requirements when recruiting candidates with Quantexa experience. Important Note: These guidelines are for reference only, and companies may have additional or specific expectations for roles. Day-to-Day Activities Leading and mentoring a team of junior data engineers within an agile framework. Writing efficient, fault-tolerant, production-level code for your deployment. Collaborating with Solution Architects to champion solutions and standards for complex big data challenges. Ensuring best practices are followed within the team. Advising colleagues on technical concepts and translating them into actionable insights for decision-making. Supporting development and operations by ensuring high-quality, operationally stable systems. Recommended Hard Skills Proficiency in programming languages, particularly Scala, Java, Python, or similar. Experience with modern development tools and processes (e.g., Git, Gradle, Nexus) and automation/DevOps technologies (e.g., Jenkins, Docker, Bash scripting). Knowledge of cloud platforms (Google Cloud, Azure, AWS) and big data technologies (Spark, Hadoop, Elasticsearch). Experience in building and deploying production-level data processing systems with a focus on operational stability. Understanding of testing frameworks and the ability to write unit and integration tests using libraries like ScalaTest. Recommended Soft Skills Ability to lead, mentor, and support junior engineers and team members in a technical environment. Strong technical communication skills, especially for explaining complex technical concepts to non-technical stakeholders. Ability to work effectively with cross-functional teams.s. Capable of making decisions that improve the operational stability and efficiency of data systems. Read more about Technical LeadsSenior Data Engineer
The Role The Senior Data Engineer is a professional who designs, constructs, and maintains systems that collect, store, and analyse large amounts of data. They are the main contributor to project development. They design and own complex epics, working with stakeholders to garther requirements, design approach and implement. They are self directed, comfortable supporting junior team members, and can deputise for the Technical Lead. How the role fits within a team:What sort of people and skills do I need in my team? More details on requirements and responsibilities: Senior Data Engineer Job Specification Example of what a Senior Data Engineer does day-to-day: coming soon How to Become a Senior Data Engineer: Experiences of becoming a Senior Data Engineer: coming soon Recommended Experience: Strong background grounded in data engineering Proficient in Scala and Spark Expertise building and deploying production-level data processing batch systems; and working with cloud environments A strong technical communication ability with demonstrable experience working in rapidly changing client environments. Recommended Quantexa Certifications Alongside the strong experience outlined, we also recommend Senior Data Engineers to complete the academy training as recommended for Data Engineers: Quantexa Data Engineer Academy (DEA): The Quantexa Data Engineer Academy is an in-depth program aimed to teach Data Engineers how to build Quantexa Platforms. Quantexa Scoring Engineer Academy (SEA): The Quantexa Scoring Engineer Academy qualifies the individual to write key detection logic that can be implemented within the Quantexa Assess framework. Prepares You to Become: The Senior Data Engineer role is a great foundation for many roles including: Technical Lead Top Community Areas: Quantexa Platform Support Someone Needs Help Service Build & Transition Community Training Program User Research PanelSenior Data Engineer Job Specification
This job specification highlights the core activities and skills essential for Senior Data Engineers working with the Quantexa Platform. We recommend Senior Data Engineers have at least four years of industry experience as a Data Engineer or in an equivalent role. For senior data engineers working with the Quantexa Platform, the tools, responsibilities, and expertise recommended to meet industry standards are outlined. For hiring managers, it serves as a framework for defining role requirements when recruiting candidates with Quantexa experience. Important Note: These guidelines are for reference only, and companies may have additional or specific expectations for roles. Day-to-Day Activities Writing efficient, fault-tolerant, production-level code for your deployment. Building and managing end-to-end data pipelines. Collaborating to develop and implement solutions for complex challenges. Advising colleagues on technical concepts and translating them into actionable insights for decision-making. Recommended Hard Skills Proficiency in programming languages, particularly Scala, Java, Python, or similar. Experience in building and deploying production-level data processing systems. Experience with modern development tools and processes (e.g., Git, Gradle, Nexus) and automation/DevOps technologies (e.g., Jenkins, Docker, Bash scripting). Knowledge of cloud platforms (Google Cloud, Azure, AWS) and big data technologies (Spark, Hadoop, Elasticsearch). Understanding of testing frameworks and the ability to write unit and integration tests using libraries like ScalaTest. Recommended Soft Skills Problem-solving mindset with the ability to tackle complex challenges. Strong communication skills for articulating technical concepts. Adaptability to work in rapidly changing client environments. Experience supporting or mentoring junior members within a team. Read more about Senior Data Engineers.Data Engineer Job Specification
This job specification highlights the core activities and skills essential for Data Engineers working with the Quantexa Platform. For data engineers working with the Quantexa Platform, the tools, responsibilities, and expertise recommended to meet industry standards are outlined. For hiring managers, it serves as a framework for defining role requirements when recruiting candidates with Quantexa experience. Important Note: These guidelines are for reference only, and companies may have additional or specific expectations for roles. Day-to-Day Activities Writing efficient, fault-tolerant, production-level code for your deployment. Building and managing end-to-end data pipelines. Collaborating to develop and implement solutions for complex challenges. Advising colleagues on technical concepts and translating them into actionable insights for decision-making. Recommended Hard Skills Proficiency in programming languages, particularly Scala, Java, Python, or similar. Experience in building and deploying production-level data processing systems. Experience with modern development tools and processes (e.g., Git, Gradle, Nexus) and automation/DevOps technologies (e.g., Jenkins, Docker, Bash scripting). Knowledge of cloud platforms (Google Cloud, Azure, AWS) and big data technologies (Spark, Hadoop, Elasticsearch). Understanding of testing frameworks and the ability to write unit and integration tests using libraries like ScalaTest. Recommended Soft Skills Problem-solving mindset with the ability to tackle complex challenges. Strong communication skills for articulating technical concepts. Adaptability to work in rapidly changing client environments. Read more about Data Engineers.Data Engineer
The Role: A Data Engineer is a professional who designs, constructs, and maintains systems that collect, store, and analyze large amounts of data. Their role involves ensuring that data is accessible, reliable, and efficient to support organizational decision-making, analytics, and business operations. They are responsible for creating the infrastructure that allows data scientists and analysts to work with data effectively. How the role fits within a team: What sort of people and skills do I need in my team? More details on requirements and responsibilities: Data Engineer Job Specification Examples of what a Data Engineer does day-to-day: A day in the life of... an Academy Trainee A day in the life of… a Data Engineer How to Become a Data Engineer: Learn more about the experiences and qualifications needed to become a Data Engineer and progress through the levels. How I Became a... Data Engineer Recommended Quantexa Certifications: The Quantexa Academy is a modular learning experience that teaches individuals the key skills needed to successfully develop, deploy, and use the Quantexa Platform. It offers a range of courses and programs. The technical certification programs (Academies) offer assessments that allow learners to gain Quantexa Certifications. We recommend Data Engineers in your organisation gain the following certifications to deploy and maintain Quantexa. Quantexa Data Engineer Academy (DEA): The Quantexa Data Engineer Academy is an in-depth program aimed to teach Data Engineers how to build Quantexa Platforms. Quantexa Task Loading (QTL): In-depth program designed to help Quantexa Certified Data Engineers implement and customize Task Loading on a project Quantexa Scoring Engineer Academy (SEA): The Quantexa Scoring Engineer Academy qualifies the individual to write key detection logic that can be implemented within the Quantexa Assess framework. Top Community Areas: Quantexa Platform Support Service Build & Transition Community Training Program User Research Panel
🚀 We're thrilled to be hosting London Scala User Group this October at our Quantexa HQ in London!
Organized by London Scala User Group, this event provides a platform for passionate developers to learn, share knowledge, and network on a global scale. London Scala User Group is a regular meet-up that connects people and companies using Scala ⭐️ Key Details When: Wednesday 18th October Where: WeWork, 10 York Road, London, SE1 7ND @ Quantexa Floor (4) Why is Quantexa hosting this event 👀 This is a great opportunity to connect with more amazing talent like yourselves! The primary goal of this event is to give back to our talent community and offer a platform where people can discuss everything Scala and Functional Programming related and hear from industry contributors. We're really excited to sponsor the Scala community and help it to grow! Speakers from Quantexa Lead Engineer R&D 👉 Please make sure you register for the event as spaces are limited: London Scala Users' Group | Meetup Come and meet other software developers in the London area interested in the Scala programming language.Follow us: **[@LondonScala](https://twitter.com/londonscala)** and use the hashtag **#LondonScalaUG**
