GCP Data Engineer – Birmingham/Hybrid - £70,000 - £80,000 GCP | Google Cloud Platform | Looker | BigQuery | ETL | PostgreSQL | Python | Apache Airflow | SQL | Data Engineering | Python | Do you want to work for a Google partner? Or maybe you enjoy working with a modern GCP data tech stack. If so I have a role for you. Opus have partnered with a fantastic adtech company that harness technology to help leading retailers such as Nike, Nintendo and Converse increase sales. They are currently building out a data capability and are looking for a Data Engineer to join the team. Responsibilities – <ul><li>You will be Developing and maintaining automated data pipelines</li><li>Implement and maintain databases</li><li>Develop data models</li><li>Keep up to date with latest data trends and implement emerging technologies</li></ul> If you hold any GCP certifications this will give you the edge and put you in a really strong position. They have a really good tech stack which consists of Python, GCP, Dataflow, BigQuery, Looker, Data Fusion, Looker, SQL But what do you get in return? <ul><li>Hybrid working (1 visit every 2 weeks)</li><li>25 days holiday + bank</li><li>Annual bonus</li><li>Solid pension</li><li>£1000 training budget for certifications</li><li>Flexible hours (Core is 10-4)</li><li>And more</li></ul> If this is something you would be interested in please send your CV to adam.holmes@opusrs.com to apply. Sponsorship isn’t available. GCP | Google Cloud Platform | Looker | BigQuery | ETL | PostgreSQL | Python | Apache Airflow | SQL | Data Engineering | Python |

About the Role: We are seeking an experienced Data Engineer to help build and enhance a cloud-based data warehouse hosted on Microsoft Azure. This role offers a unique opportunity to shape and develop a data platform, enabling impactful decision-making through innovative solutions and data insights. Key Responsibilities: <ul><li>Develop and maintain a cloud-based data warehouse using modern ETL tools.</li><li>Build and optimise scalable data pipelines and workflows.</li><li>Implement and support data visualisation tools such as Tableau or Power BI.</li><li>Design and enhance data architecture and models (e.g., facts/dimensions, materialised views).</li><li>Integrate APIs and support migration to a cloud environment.</li><li>Collaborate with stakeholders to understand business needs and deliver tailored solutions.</li><li>Mentor and support junior developers while contributing to an agile team environment.</li></ul> What We’re Looking For: <ul><li>Technical Expertise:</li><li>Extensive experience with cloud data platforms, preferably Snowflake.</li><li>Advanced SQL skills and experience with DBT.</li><li>Proficiency in Python or a similar programming language.</li><li>Hands-on experience with RESTful and GraphQL API integration.</li><li>Tool Knowledge:</li><li>Familiarity with cloud-based ETL tools and CI/CD pipelines (e.g., Azure DevOps, Jenkins).</li><li>Experience integrating Tableau/Power BI with cloud data platforms.</li><li>Knowledge of source control systems (e.g., GIT).</li><li>Soft Skills:</li><li>Ability to communicate technical concepts and insights effectively to diverse stakeholders.</li><li>Experience working in agile teams using methodologies like Scrum or Kanban.</li></ul>

AWS Data Engineer<ul><li>UK Wide</li><li>Salary between £64,000 - £94,000 (various seniority levels available)</li></ul> Join a digital transformation consultancy as an AWS Data Engineer. Work Environment:<ul><li>This will be a mixture of remote working and visits to client sites across the UK, likely around 2-3 times a month, depending on project requirements.</li></ul> Responsibilities:<ul><li>Work with clients within the public sector</li><li>Build data pipelines and implement ETL/ELT processes.</li><li>Design data analytics solutions</li><li>Utilise DevOps practices for CI/CD and automation.</li><li>Stack including Glue, Lambda, DynamoDB, S3, Redshift, IaC, Python. </li></ul> Requirements:<ul><li>Eligible for SC Clearance.</li><li>4 years + experience with AWS for Data Engineering (Glue, Lambda, Kinesis, EMR, Athena, DynamoDB, etc.).</li><li>Programming skills in Python, Java, or Scala.</li><li>Experience with Big Data technologies (Redshift, Hadoop) and Data Lakes.</li></ul> You must be be eligible and willing to undergo attaining SC clearance due to the nature of their clients.

Role: Senior Data EngineerLocation: Remote (one day a month in Oxford)Salary: £70,000 - £80,000 (dependent on experience)Insight into the Company:This global organisation leads a digital platform that supports the functions of buying and selling properties and are looking for a Senior Data Engineer to enter their team. They are a massive corporation and made over £340 million in 2023! The ideal candidate will have 4+ years experience and have a STEM degree from a reputable university. The data team is relatively small (compared to the organisation) and they would love you to have experience with end-to-end data engineering processes.Role and Responsibilities:<ol><li>You will be supporting the team to modernise their existing data infrastructure</li><li>You will be responsible for end-to-end pipeline creation, ensuring scalability and efficiency</li><li>You will fulfil best practice regarding data quality and data governance</li><li>You will liaise with different teams and communicate to ensure stakeholders needs are met</li><li>You will support the creation and maintenance of DBT models</li></ol>Skills and Experience:<ol><li>Essential to have expertise with:</li><li>Stakeholder management</li><li>DBT</li><li>Kubernetes</li><li>Databricks</li><li>Desirable to have experience with:</li><li>Azure</li></ol>Additional Benefits:<ol><li>Private medical insurance</li><li>Competitive pension scheme</li></ol>Interview Process:<ol><li>There are 3 stages to the process:</li><li>Initial screening</li><li>Technical assessment</li><li>Team fit interview</li></ol>

Love Finance: Data Engineer – Permanent – Hybrid – Birmingham City Centre - £70,000 - £90,000 per annum Love Finance is a leading online finance broker and lender dedicated to empowering UK businesses. Since 2016, Love Finance have been instrumental in assisting thousands of companies in accessing funding via cutting-edge, technology. Ranked in the Top 15 fastest growing finance companies, with Great Places to Work certification and a 4.9-star rating on Trust Pilot, we consistently surpass our targets and are looking to secure a Senior Data and Sales Analyst to continue our growth trajectory. About You as Data Engineer: We are looking for a self-starting Data Engineer, who can work autonomously and provide outside of the box solutions to data driven activity at Love Finance. This role will offer the Data Engineer a from scratch project to take ownership of Love Finance data and deliver effective solutions through a rapid business growth period.Role: Data Engineer Type: Permanent Working Pattern: Hybrid Location: Birmingham City Centre Salary: £70,000 to £90,000 per annum The Role of the Data Engineer: Systems Experience: Must have a combination of knowledge across platforms such as; PostgresSQL, Python, Big Query, Diagtools, Dagster, AirFlow, Apache Hop, Talend <ul><li>Engineering data processing systems, using data modelling and storage techniques to facilitate the efficient storage and retrieval of data for the business</li><li>Leveraging the data collection and storage processes to provide timely and accurate reporting in line with the business needs</li><li>Work alongside and advise the data science team in the production of database systems that can support complex data processing workloads</li><li>Using the latest techniques and cloud-based approaches as part of an overall data architecture, providing input into the data architecture and standards</li><li>Maintain the data storage and processing systems</li><li>Liaise with the business and IT teams to keep the data estate relevant to the business requirements</li><li>The Data Engineer will be an expert in one or a number of Database and Processing technologies such as PostgresSQL, BigQuery and columns-based DBs and have a broad knowledge of NoSQL and cloud data options especially in GCP</li><li>Experience of Data Vault 2.0, Python and ETL/LT would be advantageous</li></ul>

When you join Kainos, you get to think beyond limitations to make an immediate and positive impact – like transforming digital services for millions of citizens or helping Fortune 500 companies get live and thrive on Workday. You’ll be part of a people-first culture that is growing around the world. We’re a creative, committed, and diverse group of individuals who succeed as a team. At Kainos your ideas are heard and valued and you’ll leave a legacy that you can feel proud of. Join us and discover how our people write our story. MAIN PURPOSE OF THE ROLE & RESPONSIBILITIES IN THE BUSINESS: As a Senior Data Engineer (Senior Associate) at Kainos, you will be responsible or designing and developing data processing and data persistence software components for solutions which handle data at scale. Working in agile teams, Senior Data Engineers provide strong development leadership and take responsibility for significant technical components of data systems . You will work within a multi-skilled agile team to design and develop large-scale data processing software to meet user needs in demanding production environments.Your responsibilities will include:<ul><li>Working to develop data processing software primarily for deployment in Big Data technologies. The role encompasses the full software lifecycle including design, code, test and defect resolution.</li><li>Working with Architects and Lead Engineers to ensure the software supports non-functional needs.</li><li>Collaborating with colleagues to resolve implementation challenges and ensure code quality and maintainability remains high. Leads by example in code quality.</li><li>Working with operations teams to ensure operational readiness</li><li>Advising customers and managers on the estimated effort and technical implications of user stories and user journeys.</li><li>Coaching and mentoring team members.</li></ul> MINIMUM (ESSENTIAL) REQUIREMENTS:<ul><li>Strong software development experience in one of Java, Scala, or Python</li><li>Software development experience with data-processing platforms from vendors such as AWS, Azure, GCP, Databricks.</li><li>Experience of developing substantial components for large-scale data processing solutions and deploying into a production environment </li><li>Proficient in SQL and SQL extensions for analytical queries</li><li>Solid understanding of ETL/ELT data processing pipelines and design patterns</li><li>Aware of key features and pitfalls of distributed data processing frameworks, data stores and data serialisation formats</li><li>Able to write quality, testable code and has experience of automated testing</li><li>Experience with Continuous Integration and Continuous Deployment techniques</li></ul> DESIRABLE REQUIREMENTS:<ul><li>Experience of performance tuning</li><li>Experience of data visualisation and complex data transformations</li><li>Experience with steaming and event-processing architectures including technologies such as Kafka and change-data-capture (CDC) products</li><li>Expertise in continuous improvement and sharing input on data best practice</li></ul> So what are you waiting for? Let’s write the next incredible chapter of our story together. Embracing our differences At Kainos, we believe in the power of diversity, equity and inclusion. We are committed to building a team that is as diverse as the world we live in, where everyone is valued, respected, and given an equal chance to thrive. We actively seek out talented people from all backgrounds, regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other characteristic that makes them who they are. We also believe every candidate deserves a level playing field. Our friendly talent acquisition team is here to support you every step of the way, so if you require any accommodations or adjustments, we encourage you to reach out. We understand that everyone's journey is different, and by having a private conversation we can ensure that our recruitment process is tailored to your needs.

Data Engineer Jobs in Birmingham, England

Gcp Data Engineer 75000 85000
December 13, 2024

Data Engineer
December 9, 2024

Data Engineer
December 6, 2024

Senior Data Engineer
December 6, 2024

Data Engineer
December 1, 2024

Senior Data Engineer
December 1, 2024

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Data Engineer Jobs in Birmingham, England

Gcp Data Engineer 75000 85000December 13, 2024

Data EngineerDecember 9, 2024

Data EngineerDecember 6, 2024

Senior Data EngineerDecember 6, 2024

Data EngineerDecember 1, 2024

Senior Data EngineerDecember 1, 2024