Data developers Work, Jobs in Pitsea, Ess (with Salaries)

Data Engineer
Dheeraja Systems —London
- £27,181.94 - £69,444.82 a year
- Full-time
- Azure
- Computer Science
- DevOps
Quick apply
Junior Data Engineer
I-Tech Centre Ltd —Ilford
- From £30,000 a year
- Full-time
- Engineering
- SQL
- Analysis skills
- Annual leave
Quick apply
5d
Lead Data Engineer
Ground Control —Billericay
- Full-time
- Hybrid work
- Azure
- DevOps
- SQL
- Annual leave
- Life insurance
Quick apply
13d
Data Analyst
Fortray Global Services Ltd —London
- £36,000 - £38,000 a year
- Monday to Friday
- Hybrid work
- Microsoft Powerpoint
- Microsoft Excel
- Azure
Associate Director - Data Engineering
Moody's —London
- Computer Science
- Engineering
- Master's degree
Performance and BI Analyst
Civic Recruitment Limited —Bexley
- Data analysis skills
- SQL
- Analysis skills
Quick apply
6d
Market Data Engineer
Keyrus UK —London
- £58,000 - £108,000 a year
- Full-time
- Hybrid work
- English
- SQL
- C++
- Employee discount
- Life insurance
11d
Senior Snowflake Data Engineer
Keyrus UK —London
- £58,000 - £87,000 a year
- Full-time
- Hybrid work
- Azure
- English
- SQL
- Employee discount
- Life insurance
Sr. Lead Data Engineer
JPMorganChase —London
- Full-time
- SQL
- AWS
- AI
Data Engineer, LONDON
nsave —London
- Full-time
- SQL
- In-person
- Annual leave
- Gym membership
Quick apply
Business Analytics Lead
DS Smith —Kemsley
- Full-time
- ERP systems
- Communication skills
Data Engineer III - Python, Databricks - Senior Associate
JPMorganChase —London
- Full-time
- Data analysis skills
- SQL
- AWS
Senior Data Engineer - Reference Data (Assistant Vice President)
Jefferies & Company, Inc. —London
- Full-time
- SQL
- AWS
- Financial services
14d
Lead Software Engineer - Data & AI
JPMorganChase —London
- Full-time
- Azure
- System design
- Java
8d
Operations Analyst
WallStreetDocs —London
- Full-time
- Java
- JavaScript
Lead Data Engineer - Python, SQL - Team Lead - Vice President
JPMorganChase —London
- Full-time
- Data analysis skills
- SQL
- AWS
Planning and Analysis Data Modeler - Senior Associate
JPMorganChase —London
- Full-time
- Azure
- Computer Science
- Data analysis skills
Sr Lead Software Engineer - KDB+ / Q
JPMorganChase —London
- Full-time
- System design
- Java
- AWS
Senior kdb+ Developer, Vice President
State Street —London
- Full-time
- Computer Science
- Master's degree
- AWS
Senior Market Data Developer – End-of-Day Pricing & Risk Infrastructure (Assistant Vice President)
Jefferies & Company, Inc. —London
- Full-time
- Computer Science
- Engineering
- SQL

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Data Engineer

Dheeraja Systems
London

Quick apply

Job details

Full-time
£27,181.94 - £69,444.82 a year

Qualifications

Power BI
Azure
Computer Science
Kubernetes
Big data
DevOps
Spark
Business analysis
Data analysis skills
Business processes
NoSQL
Git
Google Cloud Platform
Tableau
Java
SQL
AWS
Analysis skills
Docker
Bachelor's degree
Scala
Scrum
Software development
Agile
S3
Kafka
Root cause analysis
Redshift
Communication skills
Data warehouse
Python
Hadoop
Information Technology

Full job description

Job Description

We are seeking a skilled and detail-oriented Data Engineer with approximately 3 years of experience to join our dynamic team. The ideal candidate will have a strong understanding of data engineering principles, data architecture, ETL processes, and cloud-based data platforms. You will play a key role in designing, developing, and maintaining scalable data pipelines and ensuring the availability, reliability, and integrity of data to support business intelligence, analytics, and operational needs.

Key Responsibilities

Design, develop, and maintain scalable and efficient ETL/ELT data pipelines for ingesting, transforming, and loading data from multiple sources.
Build and optimize data architectures, databases, and data warehouses to support reporting, analytics, and business intelligence initiatives.
Develop and maintain data integration solutions using SQL, Python, and other relevant programming languages.
Collaborate with business stakeholders, data analysts, data scientists, and software development teams to understand data requirements and deliver appropriate solutions.
Monitor, troubleshoot, and optimize data pipelines to ensure high performance, reliability, and data quality.
Implement data validation, cleansing, and governance processes to ensure data accuracy, consistency, and compliance.
Develop and maintain data models, metadata, and documentation for data assets and workflows.
Support the implementation of cloud-based data platforms and modern data engineering technologies.
Ensure compliance with data security, privacy, and regulatory requirements.
Participate in code reviews, testing, deployment, and continuous improvement of data engineering processes.
Monitor system performance and resolve data-related issues in a timely manner.
Stay up to date with emerging technologies and industry best practices in data engineering and recommend improvements where appropriate.

Qualifications

Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, or a related field.
Approximately 3 years of experience as a Data Engineer or in a similar data-focused technical role.
Strong proficiency in SQL and experience with relational and NoSQL databases.
Experience developing ETL/ELT pipelines using industry-standard tools and frameworks.
Proficiency in Python, Scala, Java, or another programming language used for data engineering.
Experience working with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
Familiarity with data warehousing concepts and modern data architectures.
Experience with version control systems such as Git.
Knowledge of Agile/Scrum software development methodologies.
Strong analytical, problem-solving, and communication skills.
Ability to manage multiple priorities in a fast-paced environment.

Preferred Skills (Optional)

Experience with Apache Spark, Hadoop, Kafka, Airflow, Databricks, Snowflake, or similar big data technologies.
Experience with cloud data services such as AWS Redshift, Azure Synapse Analytics, Azure Data Factory, Google BigQuery, or Amazon S3.
Familiarity with containerization technologies such as Docker and Kubernetes.
Knowledge of CI/CD pipelines and DevOps practices.
Experience with data governance, data quality, and master data management.
Relevant certifications such as AWS Certified Data Engineer, Microsoft Azure Data Engineer Associate, Google Professional Data Engineer, or Databricks Certified Data Engineer.

Job Type: Full-time

Pay: £27,181.94-£69,444.82 per year

Work Location: In person

Quick apply

Refine Your Search

data developers jobs in pitsea, ess

Data Engineer

Junior Data Engineer

Lead Data Engineer

Data Analyst

Associate Director - Data Engineering

Performance and BI Analyst

Market Data Engineer

Senior Snowflake Data Engineer

Sr. Lead Data Engineer

Data Engineer, LONDON

Business Analytics Lead

Data Engineer III - Python, Databricks - Senior Associate

Senior Data Engineer - Reference Data (Assistant Vice President)

Lead Software Engineer - Data & AI

Operations Analyst

Lead Data Engineer - Python, SQL - Team Lead - Vice President

Planning and Analysis Data Modeler - Senior Associate

Sr Lead Software Engineer - KDB+ / Q

Senior kdb+ Developer, Vice President

Senior Market Data Developer – End-of-Day Pricing & Risk Infrastructure (Assistant Vice President)

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