to minimise disruption. Collaborate with various teams to align migration processes with organisational goals and regulatory standards. Proficiency in AWS ETL technologies, including Glue, Data Sync, DMS, Step Functions, Redshift, DynamoDB, Athena, Lambda, RDS, EC2, and S3 Datalake, CloudWatch for building and optimizing ETL pipelines and data migration workflows. Working knowledge of Azure data engineering tools, including ADF (Azure More ❯
Watford, Hertfordshire, United Kingdom Hybrid / WFH Options
Digital Gaming Corp
competitive edge. As a Senior Data Engineer, you'll design and maintain ETL pipelines integrating data from sources like Facebook, Google Analytics, and payment providers. Using tools like AWS Redshift, S3, and Kafka, you'll optimize data models for batch and real-time processing. Collaborating with stakeholders, you'll deliver actionable insights on player behavior and gaming analytics, enhancing … data from diverse sources, including APIs like Facebook, Google Analytics, and payment providers. Develop and optimize data models for batch processing and real-time streaming using tools like AWS Redshift, S3, and Kafka. Lead efforts in acquiring, storing, processing, and provisioning data to meet evolving business requirements. Perform customer behaviour analysis, gaming analytics, and create actionable insights to enhance … of experience in data engineering roles, with a proven ability to lead and mentor a team. Expertise in SQL, Python, and R. Strong proficiency in AWS technologies such as Redshift, S3, EC2, and Lambda. Experience with Kafka and real-time data streaming technologies. Advanced skills in building ETL pipelines and integrating data from APIs. Familiarity with data visualization and More ❯
to minimise disruption. Collaborate with various teams to align migration processes with organisational goals and regulatory standards. Proficiency in AWS ETL technologies, including Glue, Data Sync, DMS, Step Functions, Redshift, DynamoDB, Athena, Lambda, RDS, EC2 and S3 Datalake, CloudWatch for building and optimizing ETL pipelines and data migration workflows. Working knowledge of Azure data engineering tools, including ADF (Azure More ❯
/hr W2 Responsibilities: Develop, optimize, and maintain data ingestion flows using Apache Kafka, Apache Nifi, and MySQL/PostgreSQL. Develop within AWS cloud services such as RedShift, SageMaker, API Gateway, QuickSight, and Athena. Coordinate with data owners to ensure proper configuration. Document SOPs related to streaming, batch configuration, or API management. Record details of data ingestion activities for … organizational levels. Analytical, organizational, and problem-solving skills. Experience with data observability tools like Grafana, Splunk, AWS CloudWatch, Kibana, etc. Knowledge of container technologies such as Docker, Kubernetes, and Amazon EKS. Education Requirements: Bachelor’s Degree in Computer Science, Engineering, or related field, or at least 8 years of equivalent work experience. 8+ years of IT data/system More ❯
ensuring data quality and integrity. Stay up to date with the latest trends and best practices in data engineering and cloud technologies, especially AWS services such as S3, Lambda, Redshift, and Glue. Qualifications: Bachelor’s degree in computer science, engineering, or a related field. 5+ years of experience in data engineering, with a strong focus on Snowflake and AWS. More ❯
Proficiency in SQL, Python, and ETL tools ( Streamsets, DBT etc.) >Hands on experience with Oracle RDBMS >Data Migration experience to Snowflake >Experience with AWS services such as S3, Lambda, Redshift, and Glue. >Strong understanding of data warehousing concepts and data modeling. >Excellent problem-solving and communication skills, with a focus on delivering high-quality solutions. >Understanding/hands on More ❯
Proficiency in SQL, Python, and ETL tools ( Streamsets, DBT etc.) >Hands on experience with Oracle RDBMS >Data Migration experience to Snowflake >Experience with AWS services such as S3, Lambda, Redshift, and Glue. >Strong understanding of data warehousing concepts and data modeling. >Excellent problem-solving and communication skills, with a focus on delivering high-quality solutions. >Understanding/hands on More ❯
Proficiency in SQL, Python, and ETL tools ( Streamsets, DBT etc.) >Hands on experience with Oracle RDBMS >Data Migration experience to Snowflake >Experience with AWS services such as S3, Lambda, Redshift, and Glue. >Strong understanding of data warehousing concepts and data modeling. >Excellent problem-solving and communication skills, with a focus on delivering high-quality solutions. >Understanding/hands on More ❯
Proficiency in SQL, Python, and ETL tools ( Streamsets, DBT etc.) >Hands on experience with Oracle RDBMS >Data Migration experience to Snowflake >Experience with AWS services such as S3, Lambda, Redshift, and Glue. >Strong understanding of data warehousing concepts and data modeling. >Excellent problem-solving and communication skills, with a focus on delivering high-quality solutions. >Understanding/hands on More ❯
Proficiency in SQL, Python, and ETL tools ( Streamsets, DBT etc.) >Hands on experience with Oracle RDBMS >Data Migration experience to Snowflake >Experience with AWS services such as S3, Lambda, Redshift, and Glue. >Strong understanding of data warehousing concepts and data modeling. >Excellent problem-solving and communication skills, with a focus on delivering high-quality solutions. >Understanding/hands on More ❯
Proficiency in SQL, Python, and ETL tools ( Streamsets, DBT etc.) >Hands on experience with Oracle RDBMS >Data Migration experience to Snowflake >Experience with AWS services such as S3, Lambda, Redshift, and Glue. >Strong understanding of data warehousing concepts and data modeling. >Excellent problem-solving and communication skills, with a focus on delivering high-quality solutions. >Understanding/hands on More ❯
Proficiency in SQL, Python, and ETL tools ( Streamsets, DBT etc.) >Hands on experience with Oracle RDBMS >Data Migration experience to Snowflake >Experience with AWS services such as S3, Lambda, Redshift, and Glue. >Strong understanding of data warehousing concepts and data modeling. >Excellent problem-solving and communication skills, with a focus on delivering high-quality solutions. >Understanding/hands on More ❯
Proficiency in SQL, Python, and ETL tools ( Streamsets, DBT etc.) >Hands on experience with Oracle RDBMS >Data Migration experience to Snowflake >Experience with AWS services such as S3, Lambda, Redshift, and Glue. >Strong understanding of data warehousing concepts and data modeling. >Excellent problem-solving and communication skills, with a focus on delivering high-quality solutions. >Understanding/hands on More ❯
Proficiency in SQL, Python, and ETL tools (Streamsets, DBT etc.) Hands on experience with Oracle RDBMS Data Migration experience to Snowflake Experience with AWS services such as S3, Lambda, Redshift, and Glue. Strong understanding of data warehousing concepts and data modeling. Excellent problem-solving and communication skills, with a focus on delivering high-quality solutions. Understanding/hands on More ❯
Proficiency in SQL, Python, and ETL tools (Streamsets, DBT, etc.) • Hands-on experience with Oracle RDBMS • Data Migration experience to Snowflake • Experience with AWS services such as S3, Lambda, Redshift, and Glue. • Strong understanding of data warehousing concepts and data modelling. • Excellent problem-solving and communication skills, with a focus on delivering high-quality solutions. • Understanding/hands-on More ❯
Proficiency in SQL, Python, and ETL tools (Streamsets, DBT, etc.) • Hands-on experience with Oracle RDBMS • Data Migration experience to Snowflake • Experience with AWS services such as S3, Lambda, Redshift, and Glue. • Strong understanding of data warehousing concepts and data modelling. • Excellent problem-solving and communication skills, with a focus on delivering high-quality solutions. • Understanding/hands-on More ❯
Proficiency in SQL, Python, and ETL tools (Streamsets, DBT, etc.) • Hands-on experience with Oracle RDBMS • Data Migration experience to Snowflake • Experience with AWS services such as S3, Lambda, Redshift, and Glue. • Strong understanding of data warehousing concepts and data modelling. • Excellent problem-solving and communication skills, with a focus on delivering high-quality solutions. • Understanding/hands-on More ❯
Proficiency in SQL, Python, and ETL tools (Streamsets, DBT etc.) Hands on experience with Oracle RDBMS Data Migration experience to Snowflake Experience with AWS services such as S3, Lambda, Redshift, and Glue. Strong understanding of data warehousing concepts and data modeling. Excellent problem-solving and communication skills, with a focus on delivering high-quality solutions. Understanding/hands on More ❯
Proficiency in SQL, Python, and ETL tools (Streamsets, DBT etc.) Hands on experience with Oracle RDBMS Data Migration experience to Snowflake Experience with AWS services such as S3, Lambda, Redshift, and Glue. Strong understanding of data warehousing concepts and data modeling. Excellent problem-solving and communication skills, with a focus on delivering high-quality solutions. Understanding/hands on More ❯
Proficiency in SQL, Python, and ETL tools (Streamsets, DBT etc.) >Hands on experience with Oracle RDBMS >Data Migration experience to Snowflake >Experience with AWS services such as S3, Lambda, Redshift, and Glue. >Strong understanding of data warehousing concepts and data modeling. >Excellent problem-solving and communication skills, with a focus on delivering high-quality solutions. >Understanding/hands on More ❯
Proficiency in SQL, Python, and ETL tools (Streamsets, DBT etc.) >Hands on experience with Oracle RDBMS >Data Migration experience to Snowflake >Experience with AWS services such as S3, Lambda, Redshift, and Glue. >Strong understanding of data warehousing concepts and data modeling. >Excellent problem-solving and communication skills, with a focus on delivering high-quality solutions. >Understanding/hands on More ❯
Proficiency in SQL, Python, and ETL tools (Streamsets, DBT etc.) >Hands on experience with Oracle RDBMS >Data Migration experience to Snowflake >Experience with AWS services such as S3, Lambda, Redshift, and Glue. >Strong understanding of data warehousing concepts and data modeling. >Excellent problem-solving and communication skills, with a focus on delivering high-quality solutions. >Understanding/hands on More ❯
ETL tools such as StreamSets and DBT . Hands-on experience with Oracle RDBMS . Proven data migration experience to Snowflake . Experience with AWS services including S3 , Lambda , Redshift , and Glue . Solid understanding of data warehousing concepts and data modeling . Excellent problem-solving and communication skills focused on delivering high-quality solutions. Understanding or hands-on More ❯
SQL, Python, and ETL tools such as StreamSets and DBT. Hands-on experience with Oracle RDBMS. Proven data migration experience to Snowflake. Experience with AWS services including S3, Lambda, Redshift, and Glue. Solid understanding of data warehousing concepts and data modeling. Excellent problem-solving and communication skills focused on delivering high-quality solutions. Understanding or hands-on experience with More ❯
Gillingham, east anglia, united kingdom Hybrid / WFH Options
Harnham
data engineering, analytics engineering, or a similar role. Proficiency in SQL and/or Python for data transformation and automation. Hands-on experience with cloud data warehouses (e.g. Snowflake, Redshift, BigQuery). Strong understanding of data modelling, ETL/ELT workflows, and data validation. Experience with BI tools such as Power BI, Tableau, or Looker. Ability to translate complex More ❯
