A leading live entertainment company in Greater London is looking for a Staff Data Engineer to enhance their data platform. The role entails building scalable data products, leading initiatives to improve operational efficiency, and collaborating with multi-disciplinary teams. Candidates should have over 6 years of experience in data engineering, expertise in streaming technologies, and familiarity with AWS. The position offers a dynamic work environment aimed at redefining the live entertainment experience.
03/02/2026
Full time
A leading live entertainment company in Greater London is looking for a Staff Data Engineer to enhance their data platform. The role entails building scalable data products, leading initiatives to improve operational efficiency, and collaborating with multi-disciplinary teams. Candidates should have over 6 years of experience in data engineering, expertise in streaming technologies, and familiarity with AWS. The position offers a dynamic work environment aimed at redefining the live entertainment experience.
Live shows make us feel good. They're a time to hang with our friends, discover new artists or lose ourselves on a dancefloor. We're on a mission to bring all of this to more fans, more often - and that's where you come in. We're looking for a Senior Data Platform Engineer to join our Data Platform team, to help us scale our data platform to make DICE more reliable and impactful for its partners and customers. At DICE, you'll be part of the company that's redefining live entertainment. It's a place where you can be yourself, influence the culture, and create work that you're proud of. About the role You're an experienced individual who is passionate about building and scaling data products, enhancing data platforms, and comfortable supporting the diverse needs of multiple teams. You'll be in an inspiring and fast-moving environment as part of a cross-functional team, working closely with developers, data scientists, data analysts, data engineers, analytics engineers and product managers. You'll be building data tools, designing highly scalable systems, and arriving at essential insights that will help us make the right platform choices for our use cases. You will contribute to improving our ways of working and establishing standards across the data team. We work in an iterative approach, designing, building and trialling out new concepts quickly to test our assumptions and create the best service for our fans & partners. We also continue to pursue the best approaches to the many challenges we face in delivering highly scaled and richly personalised services. We want engineers open to collaboration and who want to be an integral part of the product improvement process. You'll be Joining a team of experienced engineers focused on evolving our core data platform, with responsibilities ranging from deprecating legacy systems to designing and building next-generation platform capabilities. Working with Engineering Managers and Software Engineers to support the formulation and implementation of a data platform strategy. Taking ownership of end-to-end platform initiatives-from scoping and architecture to implementation and rollout-delivering scalable and maintainable systems that empower data consumers across the org. Helping drive the technical maturity of the platform team by introducing engineering best practices, fostering reusability, and actively breaking down silos to promote shared ownership and collaboration. Working closely with the Product Manager for the Data Platform team, along with Data Engineers, Analytics Engineers, Analysts, and Data Scientists, to ensure our platform solutions are robust, efficient, and future-ready. You are Passionate, humble and talented. A fan of music and culture. Actively responsible and a problem solver. Inspiring and collaborative. Eager to build apps that make a positive impact on the world. Up-to-date with technologies and techniques, and you know when to use them. Independent and require minimal supervision. You'll need Proven experience as a Data Platform Engineer with 4+ years of experience, with a track record of building and scaling modern data platforms and tooling, ideally in complex or high-growth environments. Strong understanding of platform architecture and infrastructure design, including security, scalability, observability, and cost efficiency. Experience building reusable, self-serve tooling and frameworks that improve developer productivity and standardise data workflows across teams. Extensive knowledge of the AWS tech stack. Deep familiarity with streaming technologies such as Kafka, Kinesis, or similar event-driven architectures. Experience with orchestration frameworks (e.g.Prefect and Airflow) and setting up scalable, observable DAG infrastructure. Strong understanding of data infrastructure best practices, including CI/CD, DevOps, Infrastructure-as-Code (Terraform), and containerization (Docker/Kubernetes) and have used these technologies to build scalable data platforms. Deep experience with cloud-native data stacks, especially on AWS (e.g. S3, Glue, Redshift, Athena, RDS, etc.). Solid development experience with Python (other programming languages are a plus). Strong grasp of version control and CI workflows (e.g. GitHub Actions), and comfort working in Unix environments. Knowledge of dbt. Knowledge of A/B testing or multivariate testing frameworks. Knowledge of data governance, security & privacy, lineage, and quality frameworks in cloud environments. AWS certification About DICE DICE is based throughout Europe, North America, Australia and India, and is rapidly growing worldwide. We're constantly innovating to bring amazing products to fans, artists, venues and promoters. We know that having a variety of perspectives makes us a better company - it's why we strongly encourage members of underrepresented communities to apply. Find out how we're creating a more diverse, equitable and inclusive DICE. Application process Our process usually involves a quick chat on the phone, a portfolio review or task and a couple of interviews where you'll meet the people you'll work with. We'll keep you fully informed along the way. Accepted file types: pdf, doc, docx, txt, rtf
03/02/2026
Full time
Live shows make us feel good. They're a time to hang with our friends, discover new artists or lose ourselves on a dancefloor. We're on a mission to bring all of this to more fans, more often - and that's where you come in. We're looking for a Senior Data Platform Engineer to join our Data Platform team, to help us scale our data platform to make DICE more reliable and impactful for its partners and customers. At DICE, you'll be part of the company that's redefining live entertainment. It's a place where you can be yourself, influence the culture, and create work that you're proud of. About the role You're an experienced individual who is passionate about building and scaling data products, enhancing data platforms, and comfortable supporting the diverse needs of multiple teams. You'll be in an inspiring and fast-moving environment as part of a cross-functional team, working closely with developers, data scientists, data analysts, data engineers, analytics engineers and product managers. You'll be building data tools, designing highly scalable systems, and arriving at essential insights that will help us make the right platform choices for our use cases. You will contribute to improving our ways of working and establishing standards across the data team. We work in an iterative approach, designing, building and trialling out new concepts quickly to test our assumptions and create the best service for our fans & partners. We also continue to pursue the best approaches to the many challenges we face in delivering highly scaled and richly personalised services. We want engineers open to collaboration and who want to be an integral part of the product improvement process. You'll be Joining a team of experienced engineers focused on evolving our core data platform, with responsibilities ranging from deprecating legacy systems to designing and building next-generation platform capabilities. Working with Engineering Managers and Software Engineers to support the formulation and implementation of a data platform strategy. Taking ownership of end-to-end platform initiatives-from scoping and architecture to implementation and rollout-delivering scalable and maintainable systems that empower data consumers across the org. Helping drive the technical maturity of the platform team by introducing engineering best practices, fostering reusability, and actively breaking down silos to promote shared ownership and collaboration. Working closely with the Product Manager for the Data Platform team, along with Data Engineers, Analytics Engineers, Analysts, and Data Scientists, to ensure our platform solutions are robust, efficient, and future-ready. You are Passionate, humble and talented. A fan of music and culture. Actively responsible and a problem solver. Inspiring and collaborative. Eager to build apps that make a positive impact on the world. Up-to-date with technologies and techniques, and you know when to use them. Independent and require minimal supervision. You'll need Proven experience as a Data Platform Engineer with 4+ years of experience, with a track record of building and scaling modern data platforms and tooling, ideally in complex or high-growth environments. Strong understanding of platform architecture and infrastructure design, including security, scalability, observability, and cost efficiency. Experience building reusable, self-serve tooling and frameworks that improve developer productivity and standardise data workflows across teams. Extensive knowledge of the AWS tech stack. Deep familiarity with streaming technologies such as Kafka, Kinesis, or similar event-driven architectures. Experience with orchestration frameworks (e.g.Prefect and Airflow) and setting up scalable, observable DAG infrastructure. Strong understanding of data infrastructure best practices, including CI/CD, DevOps, Infrastructure-as-Code (Terraform), and containerization (Docker/Kubernetes) and have used these technologies to build scalable data platforms. Deep experience with cloud-native data stacks, especially on AWS (e.g. S3, Glue, Redshift, Athena, RDS, etc.). Solid development experience with Python (other programming languages are a plus). Strong grasp of version control and CI workflows (e.g. GitHub Actions), and comfort working in Unix environments. Knowledge of dbt. Knowledge of A/B testing or multivariate testing frameworks. Knowledge of data governance, security & privacy, lineage, and quality frameworks in cloud environments. AWS certification About DICE DICE is based throughout Europe, North America, Australia and India, and is rapidly growing worldwide. We're constantly innovating to bring amazing products to fans, artists, venues and promoters. We know that having a variety of perspectives makes us a better company - it's why we strongly encourage members of underrepresented communities to apply. Find out how we're creating a more diverse, equitable and inclusive DICE. Application process Our process usually involves a quick chat on the phone, a portfolio review or task and a couple of interviews where you'll meet the people you'll work with. We'll keep you fully informed along the way. Accepted file types: pdf, doc, docx, txt, rtf
Live shows make us feel good. They're a time to hang with our friends, discover new artists or lose ourselves on a dancefloor. We're on a mission to bring all of this to more fans, more often - and that's where you come in. We're looking for a Staff Data Engineer to join our rapidly evolving Data Platform team, to help us scale our data platform to make DICE more reliable and impactful for our partners and customers. At DICE, you'll be part of the company that's redefining live entertainment. It's a place where you can be yourself, influence the culture, and create work that you're proud of. About the role You're a highly experienced individual who is passionate about building and scaling data products, enhancing data platforms, and comfortable supporting the diverse needs of multiple teams. You'll be in an inspiring and fast-moving environment working closely with developers, data scientists, data analysts, analytics engineers and product managers. You'll be leading initiatives and mentoring others to build data products and tools, designing highly scalable systems, and testing theories to arrive at essential insights that will help disrupt a global industry. You will contribute to improving our ways of working and establishing Data Engineering's goals and best practices across the data team. We work in an iterative approach, designing, building and trialling out new concepts quickly to test our assumptions and create the best service for our fans & partners. We also continue to pursue the best approaches to the many challenges we face in delivering highly scaled and richly personalised services. We want engineers open to collaboration and who want to be an integral part of the product improvement process. You'll be Providing hands on technical leadership to guide and elevate our existing Data Engineering function into a high performing team. Building new solutions across our data products and platform, and leading initiatives to deprecate legacy systems. Taking full ownership of end to end projects that are aligned with our business objectives, and planning a clear roadmap with the Engineering Manager and Product Manager for their delivery. Elevating the team's technical maturity by establishing and championing best practices, overcoming siloed thinking, and fostering cross functional collaborations. Actively consulting and collaborating with the Data Engineering Manager, Product Manager, Analytics Engineers, Data Analysts and Data Scientists to build/architect the most optimal solutions for DICE, and leading the formulation and implementation of a data engineering strategy while acting as a key decision maker. Owning Data Engineering's long term technical goals, and driving operational efficiency by championing a sustainable, scalable, and cost effective architecture across the platform. You are Passionate, humble and a proven technical leader. Highly autonomous and self directed. Able to tackle ambiguous and unbound technical problems with little guidance. Proactively responsible and a systemic problem solver. Inspiring and collaborative across multi disciplinary teams. Up to date with technologies and techniques, and you know when to use them. An established role model and dedicated mentor for other Data Engineers. You'll need Proven experience as a Data Engineer with 6+ years of experience in building solutions, whilst also bringing a strategic outlook ahead. Experience in building at scale, establishing highly reliable end to end data solutions with SLAs for both batch and streamed pipelines. Extensive knowledge and expertise in driving the adoption of data engineering best practices and evidence of successful implementation of the same. Excellent knowledge of various data warehousing technologies for gathering and consolidating data from multiple sources, including streaming and serving real time data. Expertise in designing and building reliable, scalable solutions with streaming technologies such as Kafka, Kinesis or similar. Deep architectural knowledge of and hands on experience with workflow orchestration software, such as Prefect, Airflow, or similar. A strong track record applying Agile methodologies DevOps, CI/CD, Docker/Kubernetes and infrastructure as Code, e.g. Terraform. Solid development experience with Python (other programming languages are a plus). Advanced SQL skills (Relational Querying), e.g. Postgresql or similar, and knowledge of NoSQL DBs. Extensive knowledge of AWS tech stack with a focus on designing cost efficient and operationally excellent data solutions. Expert level command of version control and CI workflows (e.g. GitHub Actions), and comfort working in Unix environments. Experience with a recommendation/personalisation platform. Experience designing, maintaining, and interfacing with REST APIs. Knowledge of dbt. Knowledge of A/B testing or multivariate testing frameworks. Experience in deploying data science workflow/MLOps. Knowledge of data governance, security & privacy, lineage, and quality frameworks in cloud environments. AWS certifications. Experience in adopting AI tools in a responsible manner. About DICE DICE is based throughout Europe, North America, Australia and India, and is rapidly growing worldwide. We're constantly innovating to bring amazing products to fans, artists, venues and promoters. We know that having a variety of perspectives makes us a better company - it's why we strongly encourage members of underrepresented communities to apply. Find out how we're creating a more diverse, equitable and inclusive DICE. Application process Our process usually involves a quick chat on the phone, a portfolio review or task and a couple of interviews where you'll meet the people you'll work with. We'll keep you fully informed along the way. Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf When did you first hear about DICE? What's the best live event you've been to? What made it so great? What excites you about this role and working for DICE? Do you have any projects in your Github account that you would like to share with us? How did you hear about this job? What is your notice period and salary expectations? Do you have the right to work in the UK? Select We want you to know your data is safe with us. Select
03/02/2026
Full time
Live shows make us feel good. They're a time to hang with our friends, discover new artists or lose ourselves on a dancefloor. We're on a mission to bring all of this to more fans, more often - and that's where you come in. We're looking for a Staff Data Engineer to join our rapidly evolving Data Platform team, to help us scale our data platform to make DICE more reliable and impactful for our partners and customers. At DICE, you'll be part of the company that's redefining live entertainment. It's a place where you can be yourself, influence the culture, and create work that you're proud of. About the role You're a highly experienced individual who is passionate about building and scaling data products, enhancing data platforms, and comfortable supporting the diverse needs of multiple teams. You'll be in an inspiring and fast-moving environment working closely with developers, data scientists, data analysts, analytics engineers and product managers. You'll be leading initiatives and mentoring others to build data products and tools, designing highly scalable systems, and testing theories to arrive at essential insights that will help disrupt a global industry. You will contribute to improving our ways of working and establishing Data Engineering's goals and best practices across the data team. We work in an iterative approach, designing, building and trialling out new concepts quickly to test our assumptions and create the best service for our fans & partners. We also continue to pursue the best approaches to the many challenges we face in delivering highly scaled and richly personalised services. We want engineers open to collaboration and who want to be an integral part of the product improvement process. You'll be Providing hands on technical leadership to guide and elevate our existing Data Engineering function into a high performing team. Building new solutions across our data products and platform, and leading initiatives to deprecate legacy systems. Taking full ownership of end to end projects that are aligned with our business objectives, and planning a clear roadmap with the Engineering Manager and Product Manager for their delivery. Elevating the team's technical maturity by establishing and championing best practices, overcoming siloed thinking, and fostering cross functional collaborations. Actively consulting and collaborating with the Data Engineering Manager, Product Manager, Analytics Engineers, Data Analysts and Data Scientists to build/architect the most optimal solutions for DICE, and leading the formulation and implementation of a data engineering strategy while acting as a key decision maker. Owning Data Engineering's long term technical goals, and driving operational efficiency by championing a sustainable, scalable, and cost effective architecture across the platform. You are Passionate, humble and a proven technical leader. Highly autonomous and self directed. Able to tackle ambiguous and unbound technical problems with little guidance. Proactively responsible and a systemic problem solver. Inspiring and collaborative across multi disciplinary teams. Up to date with technologies and techniques, and you know when to use them. An established role model and dedicated mentor for other Data Engineers. You'll need Proven experience as a Data Engineer with 6+ years of experience in building solutions, whilst also bringing a strategic outlook ahead. Experience in building at scale, establishing highly reliable end to end data solutions with SLAs for both batch and streamed pipelines. Extensive knowledge and expertise in driving the adoption of data engineering best practices and evidence of successful implementation of the same. Excellent knowledge of various data warehousing technologies for gathering and consolidating data from multiple sources, including streaming and serving real time data. Expertise in designing and building reliable, scalable solutions with streaming technologies such as Kafka, Kinesis or similar. Deep architectural knowledge of and hands on experience with workflow orchestration software, such as Prefect, Airflow, or similar. A strong track record applying Agile methodologies DevOps, CI/CD, Docker/Kubernetes and infrastructure as Code, e.g. Terraform. Solid development experience with Python (other programming languages are a plus). Advanced SQL skills (Relational Querying), e.g. Postgresql or similar, and knowledge of NoSQL DBs. Extensive knowledge of AWS tech stack with a focus on designing cost efficient and operationally excellent data solutions. Expert level command of version control and CI workflows (e.g. GitHub Actions), and comfort working in Unix environments. Experience with a recommendation/personalisation platform. Experience designing, maintaining, and interfacing with REST APIs. Knowledge of dbt. Knowledge of A/B testing or multivariate testing frameworks. Experience in deploying data science workflow/MLOps. Knowledge of data governance, security & privacy, lineage, and quality frameworks in cloud environments. AWS certifications. Experience in adopting AI tools in a responsible manner. About DICE DICE is based throughout Europe, North America, Australia and India, and is rapidly growing worldwide. We're constantly innovating to bring amazing products to fans, artists, venues and promoters. We know that having a variety of perspectives makes us a better company - it's why we strongly encourage members of underrepresented communities to apply. Find out how we're creating a more diverse, equitable and inclusive DICE. Application process Our process usually involves a quick chat on the phone, a portfolio review or task and a couple of interviews where you'll meet the people you'll work with. We'll keep you fully informed along the way. Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf When did you first hear about DICE? What's the best live event you've been to? What made it so great? What excites you about this role and working for DICE? Do you have any projects in your Github account that you would like to share with us? How did you hear about this job? What is your notice period and salary expectations? Do you have the right to work in the UK? Select We want you to know your data is safe with us. Select
Staff Data Engineer - Remote, UK Timezone (within +/- 2 hours) Live shows make us feel good. They're a time to hang with our friends, discover new artists or lose ourselves on a dancefloor. We're on a mission to bring all of this to more fans, more often - and that's where you come in. We're looking for a Staff Data Engineer to join our rapidly evolving Data Platform team, to help us scale our data platform to make DICE more reliable and impactful for our partners and customers. At DICE, you'll be part of the company that's redefining live entertainment. It's a place where you can be yourself, influence the culture, and create work that you're proud of. About the role You're a highly experienced individual who is passionate about building and scaling data products, enhancing data platforms, and comfortable supporting the diverse needs of multiple teams. You'll be in an inspiring and fast-moving environment working closely with developers, data scientists, data analysts, analytics engineers and product managers. You'll be leading initiatives and mentoring others to build data products and tools, designing highly scalable systems, and testing theories to arrive at essential insights that will help disrupt a global industry. You will contribute to improving our ways of working and establishing Data Engineering's goals and best practices across the data team. We work in an iterative approach, designing, building and trialling out new concepts quickly to test our assumptions and create the best service for our fans & partners. We also continue to pursue the best approaches to the many challenges we face in delivering highly scaled and richly personalised services. We want engineers open to collaboration and who want to be an integral part of the product improvement process. You'll be Providing hands on technical leadership to guide and elevate our existing Data Engineering function into a high performing team. Building new solutions across our data products and platform, and leading initiatives to deprecate legacy systems. Taking full ownership of end to end projects that are aligned with our business objectives, and planning a clear roadmap with the Engineering Manager and Product Manager for their delivery. Elevating the team's technical maturity by establishing and championing best practices, overcoming siloed thinking, and fostering cross functional collaborations. Actively consulting and collaborating with the Data Engineering Manager, Product Manager, Analytics Engineers, Data Analysts and Data Scientists to build/architect the most optimal solutions for DICE, and leading the formulation and implementation of a data engineering strategy while acting as a key decision maker. Owning Data Engineering's long term technical goals, and driving operational efficiency by championing a sustainable, scalable, and cost effective architecture across the platform. You are Passionate, humble and a proven technical leader. Highly autonomous and self directed. Able to tackle ambiguous and unbound technical problems with little guidance. Proactively responsible and a systemic problem solver. Inspiring and collaborative across multi disciplinary teams. Up to date with technologies and techniques, and you know when to use them. An established role model and dedicated mentor for other Data Engineers. You'll need Proven experience as a Data Engineer with 6+ years of experience in building solutions, whilst also bringing a strategic outlook ahead. Experience building at scale, establishing highly reliable end to end data solutions with SLAs for both batch and streamed pipelines. Extensive knowledge and expertise in driving the adoption of data engineering best practices and evidence of successful implementation of the same. Excellent knowledge of various data warehousing technologies for gathering and consolidating data from multiple sources, including streaming and serving real time data. Expertise in designing and building reliable, scalable solutions with streaming technologies such as Kafka, Kinesis or similar. Deep architectural knowledge of and hands on experience with workflow orchestration software, such as Prefect, Airflow or similar. A strong track record applying Agile methodologies, DevOps, CI/CD, Docker/Kubernetes and infrastructure as Code, e.g. Terraform. Solid development experience with Python (other programming languages are a plus). Advanced SQL skills (Relational Querying), e.g. PostgreSQL or similar, and knowledge of NoSQL DBs. Extensive knowledge of AWS tech stack with a focus on designing cost efficient and operationally excellent data solutions. Expert level command of version control and CI workflows (e.g. GitHub Actions), and comfort working in Unix environments. Experience with a recommendation/personalisation platform. Experience designing, maintaining, and interfacing with REST APIs. Knowledge of dbt. Knowledge of A/B testing or multivariate testing frameworks. Experience in deploying data science workflow/MLOps. Knowledge of data governance, security & privacy, lineage, and quality frameworks in cloud environments. AWS certifications. Experience in adopting AI tools in a responsible manner. About DICE DICE is based throughout Europe, North America, Australia and India, and is rapidly growing worldwide. We're constantly innovating to bring amazing products to fans, artists, venues and promoters. We know that having a variety of perspectives makes us a better company - it's why we strongly encourage members of under represented communities to apply. Find out how we're creating a more diverse, equitable and inclusive DICE. Application process Our process usually involves a quick chat on the phone, a portfolio review or task and a couple of interviews where you'll meet the people you'll work with. We'll keep you fully informed along the way.
03/02/2026
Full time
Staff Data Engineer - Remote, UK Timezone (within +/- 2 hours) Live shows make us feel good. They're a time to hang with our friends, discover new artists or lose ourselves on a dancefloor. We're on a mission to bring all of this to more fans, more often - and that's where you come in. We're looking for a Staff Data Engineer to join our rapidly evolving Data Platform team, to help us scale our data platform to make DICE more reliable and impactful for our partners and customers. At DICE, you'll be part of the company that's redefining live entertainment. It's a place where you can be yourself, influence the culture, and create work that you're proud of. About the role You're a highly experienced individual who is passionate about building and scaling data products, enhancing data platforms, and comfortable supporting the diverse needs of multiple teams. You'll be in an inspiring and fast-moving environment working closely with developers, data scientists, data analysts, analytics engineers and product managers. You'll be leading initiatives and mentoring others to build data products and tools, designing highly scalable systems, and testing theories to arrive at essential insights that will help disrupt a global industry. You will contribute to improving our ways of working and establishing Data Engineering's goals and best practices across the data team. We work in an iterative approach, designing, building and trialling out new concepts quickly to test our assumptions and create the best service for our fans & partners. We also continue to pursue the best approaches to the many challenges we face in delivering highly scaled and richly personalised services. We want engineers open to collaboration and who want to be an integral part of the product improvement process. You'll be Providing hands on technical leadership to guide and elevate our existing Data Engineering function into a high performing team. Building new solutions across our data products and platform, and leading initiatives to deprecate legacy systems. Taking full ownership of end to end projects that are aligned with our business objectives, and planning a clear roadmap with the Engineering Manager and Product Manager for their delivery. Elevating the team's technical maturity by establishing and championing best practices, overcoming siloed thinking, and fostering cross functional collaborations. Actively consulting and collaborating with the Data Engineering Manager, Product Manager, Analytics Engineers, Data Analysts and Data Scientists to build/architect the most optimal solutions for DICE, and leading the formulation and implementation of a data engineering strategy while acting as a key decision maker. Owning Data Engineering's long term technical goals, and driving operational efficiency by championing a sustainable, scalable, and cost effective architecture across the platform. You are Passionate, humble and a proven technical leader. Highly autonomous and self directed. Able to tackle ambiguous and unbound technical problems with little guidance. Proactively responsible and a systemic problem solver. Inspiring and collaborative across multi disciplinary teams. Up to date with technologies and techniques, and you know when to use them. An established role model and dedicated mentor for other Data Engineers. You'll need Proven experience as a Data Engineer with 6+ years of experience in building solutions, whilst also bringing a strategic outlook ahead. Experience building at scale, establishing highly reliable end to end data solutions with SLAs for both batch and streamed pipelines. Extensive knowledge and expertise in driving the adoption of data engineering best practices and evidence of successful implementation of the same. Excellent knowledge of various data warehousing technologies for gathering and consolidating data from multiple sources, including streaming and serving real time data. Expertise in designing and building reliable, scalable solutions with streaming technologies such as Kafka, Kinesis or similar. Deep architectural knowledge of and hands on experience with workflow orchestration software, such as Prefect, Airflow or similar. A strong track record applying Agile methodologies, DevOps, CI/CD, Docker/Kubernetes and infrastructure as Code, e.g. Terraform. Solid development experience with Python (other programming languages are a plus). Advanced SQL skills (Relational Querying), e.g. PostgreSQL or similar, and knowledge of NoSQL DBs. Extensive knowledge of AWS tech stack with a focus on designing cost efficient and operationally excellent data solutions. Expert level command of version control and CI workflows (e.g. GitHub Actions), and comfort working in Unix environments. Experience with a recommendation/personalisation platform. Experience designing, maintaining, and interfacing with REST APIs. Knowledge of dbt. Knowledge of A/B testing or multivariate testing frameworks. Experience in deploying data science workflow/MLOps. Knowledge of data governance, security & privacy, lineage, and quality frameworks in cloud environments. AWS certifications. Experience in adopting AI tools in a responsible manner. About DICE DICE is based throughout Europe, North America, Australia and India, and is rapidly growing worldwide. We're constantly innovating to bring amazing products to fans, artists, venues and promoters. We know that having a variety of perspectives makes us a better company - it's why we strongly encourage members of under represented communities to apply. Find out how we're creating a more diverse, equitable and inclusive DICE. Application process Our process usually involves a quick chat on the phone, a portfolio review or task and a couple of interviews where you'll meet the people you'll work with. We'll keep you fully informed along the way.
A leading entertainment technology company in Greater London is seeking a Senior Data Platform Engineer. The role involves building and scaling data products, enhancing data platforms, and implementing data platform strategy. The candidate will work in a cross-functional team, utilizing AWS technology and best practices in data infrastructure. The ideal applicant has a strong background in data architecture, cloud-native technologies, and a passion for creating impactful solutions. This position provides an opportunity for creative problem-solving and collaboration across teams.
03/02/2026
Full time
A leading entertainment technology company in Greater London is seeking a Senior Data Platform Engineer. The role involves building and scaling data products, enhancing data platforms, and implementing data platform strategy. The candidate will work in a cross-functional team, utilizing AWS technology and best practices in data infrastructure. The ideal applicant has a strong background in data architecture, cloud-native technologies, and a passion for creating impactful solutions. This position provides an opportunity for creative problem-solving and collaboration across teams.
A leading entertainment technology company is seeking a Staff Data Engineer in the UK timezone to enhance its data platforms. You will provide hands-on technical leadership, build scalable data solutions, and support multiple teams. The ideal candidate has over 6 years of experience in data engineering, with strong skills in Python, SQL, and AWS technologies. Join us to help redefine live entertainment and drive innovation in our data products.
03/02/2026
Full time
A leading entertainment technology company is seeking a Staff Data Engineer in the UK timezone to enhance its data platforms. You will provide hands-on technical leadership, build scalable data solutions, and support multiple teams. The ideal candidate has over 6 years of experience in data engineering, with strong skills in Python, SQL, and AWS technologies. Join us to help redefine live entertainment and drive innovation in our data products.
