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(1) Head of Data, (2) Data & Analytics Lead, (3) Lead Data Engineer, (4) Data EngineerTeki'Spire Limited
(1) Head of Data, (2) Data & Analytics Lead, (3) Lead Data Engineer, (4) Data EngineerTeki'Spire Limited

Job Highlights

  • Data Analytics, Data Engineer, Data Infrastructure
  • AWS, GCP, Big Data, AI, Machine Learning
  • Complex Data handling, Digital

Job Description

This is a combined Job Ad for 4 roles, under the same company for the data team.

The Company

Our client is one of the leading entertainment firms with a strong presence in the APAC region and still expanding the business rapidly. They are now expanding the Data Team and hiring the following positions.

 

Head of Data, 80k – 100k, perm

 

The Role

  • Build and manage a team of Data Engineers and Data Analysts
  • Deep dive in Data to identify and prioritize opportunities for improvement in conversions along the customer journey including marketing funnel.
  • Work with Product, Engineering and other teams to streamline the implementation of the product.
  • Define and formulate analytics framework and measurement plans across marketing initiatives, customer acquisition, customer behavior, monetization and content performance etc. areas.
  • Provide data-driven insights and recommendations to key stakeholders through strong presentation construction and visual storytelling.
  • Analyze the business, content and marketing performance to provide the actionable insights to optimize overall improvement as long as direct revenue impact
  • Analyze digital channel performance across digital touch points including web, social, search, display, email and CRM.
  • Work closely with business stakeholders on requirement gathering and refine analytics procedures, workflows and other best practices.

 

Your Profile

  • Degree in Data Science, Computer Science, Statistics or related discipline.
  • Minimum 8-10 years of experience in Advanced Analytics and CLM with any related deep dive statistical software for product and business.
  • Advanced knowledge of Big Data, query building (i.e. PL/SQL, HIVE, Impala, Spark, etc.), programming (i.e. R, Python, Ruby, etc.) and visualization tools (i.e. QlikView, Tableau, Web FOCUS, etc.).
  • Experience in statistics modeling skills
  • Sophisticated, experienced analyst with ability to persuade business leaders and managers to drive business decisions.
  • Hands-on experience in handling AI & ML models such as user clustering, content recommendations, etc.
  • Experience in managing a team of data and digital professionals.
  • Experience in e-commerce, Digital or is a definite advantage.
  • Excellent presentation, interpersonal and communication skills in English, Cantonese and Mandarin.

 

Data and Analytics Lead, 60-70k, Perm

The Role

  • Lead and set the vision and roadmap of data-driven culture and fostering the use of data to monetize, explore business opportunities, make decisions and improve the user experience
  • Lead the centralized data management capability on data architecture, data collection, data transformation, data lake, data warehouse, data analytics, business intelligence and third party-data integration with governance, data security and data quality monitoring.
  • Conduct and perform the advanced data analytics to identify the insights into actionable items for all teams; improve the performance of the AI / ML; conduct to build effective predictive models
  • Transform the value of making use of data and analytics mindset and conduct the training to improve overall effectiveness and efficiency through data
  • Work closely with senior business stakeholders and conduct the presentation, communication with team members at any level of seniority
  • Manage the team resources and schedule to ensure the data platform is delivered with effectiveness, high quality, accurate, secure, on time, budget and cost control, as well as efficiently handle ad hoc analytics queries.

 

The Profile

  • 8 years related experience in data analytic and business intelligence
  • Degree holder, preferably from statistics, computer science or related disciplines
  • Being visionary in improving the existing business as well as enabling new businesses.
  • Able to communicate complex analyses effectively to varying internal and external, technical and nontechnical stakeholders, of varying seniority.
  • Experience in machine learning, deep learning and analytic techniques; capable to lead multiple data science work streams simultaneously in a fast-paced environment with multiple business stakeholders.
  • Strong knowledge in SQL, Python/R; big data components such as Hive, Pig, Spark, Kafka, Presto, Python and MapReduce.
  • Experience in cloud environment such as AWS (EC2, S3, Kinesis/Kafka, Lambda, Glue), Google Cloud or other Public cloud platform.
  • Experience with PostgreSQL, Redshift / Redshift Spectrum, NoSQL and in-memory DB.
  • Working experience in digital, e-commerce industry, mobile app and web environment is highly desirable.
  • Excellent presentation and communication skills; strong analytical, problem-solving and interpersonal skills.
  • Flexible and able to work in a dynamic environment and manage your own time and in a high paced work environment and tight timeline.
  • Good command of both written and spoken English and Chinese

 

Lead Data Engineer, 60-70k, Perm 

The Role

  • Build the best practices and strategy of the data infrastructure to fulfill data analytic and utilization needs of the business with emerging the latest technologies and capabilities.
  • Lead, implement and deliver the end to end data pipeline (real-time and batches) from collection, transformation, data modeling to visualization including but not limited to requirement gathering from business units, data mapping, coding and testing.
  • Manage the data warehouse architecture and optimize the scalability and performance of the business.
  • Deliver the data lake to enable a flexible and effective platform for data science and analytics teams.
  • Support data science development.
  • Productionize data algorithms, build APIs and incorporating into the Product platform.
  • Collaborate with multiple teams to identify opportunities to manage data and provide solutions for complex data feeds within the organization.
  • Manage and lead several data projects.

 

The Profile

  • Degree in Computer Science, Information System, Information Management or related discipline.
  • At least 6 years of demonstrated industry experience in Data warehouse, ETL, BI, Big data areas and broad exposure to all its sub-disciplines.
  • Experience on working with large, complex and multiple data sets from various sources.
  • Expert in data architecture, data modelling and design, data pipeline and data integration.
  • Hands on experience on using big data components such as Hive, Pig, Spark, Kafka, Presto, Python and MapReduce. Strong in SQL, Python/R.
  • Experience in AWS (EC2, S3, Kinesis/Kafka, Lambda, Glue), Google Cloud or other Public cloud environment is a must.
  • Experience in leading a small team of data engineers.
  • Preferably experience of deploying and running ML algorithms in production; knowledge on ML model and algorithm is highly desirable.
  • Experience with PostgreSQL, Redshift / Redshift Spectrum, NoSQL and in-memory DB is a plus.
  • Working experience in digital, e-commerce industry, mobile app and web environment is a highly desirable.
  • BI knowledge and experience (e.g. Tableau, Qlik, Power BI) is highly desirable.
  • Good presentation and communication skills; strong analytical, problem-solving and interpersonal skill.
  • Flexible and able to work in a dynamic environment and manage your own time and in a high paced work environment and tight timeline.
  • Good command of both written and spoken English and Chinese.

 

Data Engineer, 30-35k, Perm 

The Role

  • Work closely with Senior Data Engineer.
  • Build self-monitoring, robust, scalable, reusable interfaces and data pipelines.
  • Build real-time data streamlining, APIs and scripting languages, e.g. Python, SQL, NoSQL, Spark for data ingestion.
  • Build and enhance ELT/ETL processes and data pipeline to enrich our growing cloud-based data lake, data warehouse and the data foundation framework.
  • Process, cleanse, and verify the integrity of data used for analysis.
  • Perform daily support and maintenance, trouble shooting, release/upgrade, data model & reporting enhancements of the data eco system.
  • Assist the evaluation, selection and implementation of tools for data integration, analytics, machine learning and visualization.

 

The Profile

  • Degree Holder in Computer Science, Engineering, Statistics or equivalent discipline.
  • Minimum 2-3 years hands-on experience in data warehousing technical components (e.g. Data
  • Modeling, ETL and Reporting), Business Intelligence tool, infrastructure and data integration.
  • Strong sense of responsibility and passion in emerging technology.
  • Experience in deal with huge datasets and scalable ETL process.
  • Strong in modern and emerging web API standards and technologies (REST, SOAP, XML and/or JSON) and data extract API.
  • Strong in as SQL, Python/R, Scala / NodeJS.
  • Experience in AWS, Google Cloud or other Public cloud environment.
  • Proficiency in code versioning tools such as GIT, SVN, CVS.
  • BI knowledge and experience (e.g. Tableau, Qlik, Power BI) is highly desirable.
  • Working experience in digital media industry, mobile app and web environment is a plus.
  • Experience with NoSQL databases, machine learning model (e.g. TensorFlow) and algorithm
  • (e.g. regression, decision tree) is highly desirable.
  • Experience with Big Data technologies: Hadoop, Spark, MapReduce, HDFS or Big Data querying tools: Pig, Hive, and Impala is desirable.
  • Good presentation, interpersonal and communication skills.
  • Good command of both spoken and written English and Chinese

 

 

Apply Now

To apply online, please click the 'Apply' button. Or send your CV to ivy.so(a)tekispire.com

Please note that only short-listed candidates will be contacted.

 

Additional Information

Career Level
Not Specified
Qualification
Not Specified
Years of Experience
Not Specified
Employment Type
Full Time, Permanent

Company Overview

Teki'Spire specializes in Technology Recruitment, covering functions including Digital, Big Data, Business Intelligence, Application Development, Project Management, IT Security, Network and InfrastructureWe have a passion for Technology and with a proven track record in helping IT professionals to find their next dream job! Our clients are ranging from top tier multinational corporations, large scale HK companies, financial services institutions, and well-funded technology startups.

Additional Company Information

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