Senior Data Engineer at Commify

Nottingham, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

02 Feb, 26

Salary

75000.0

Posted On

04 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Azure Data Factory, Databricks, Data Governance, Data Quality, Data Security, SQL, Python, Scala, Data Modelling, Schema Design, Data Warehousing, Git, Problem-Solving, Communication, Mentoring, Real-Time Data Streaming, CI/CD

Industry

Telecommunications

Description

At Commify, we're not just a company—we're a globally connected team of innovators who love what we do. As a CPaaS leader with 25 years of groundbreaking experience, we're the force behind over 5 billion customer interactions each year, enabling businesses worldwide to connect via advanced channels like SMS, RCS, and complex mobile journeys. Our culture is our core strength. Operating across the UK, EMEA, the USA, and Australia, we've fostered a truly diverse and connected environment, earning a consistent 4 out of 5 culture score in our employee engagement surveys. You'll join a vibrant team where your diverse experience makes a daily global impact. We need talented people to grow a global company where everyone feels proud to belong, have a purpose and do their best to directly shape the digital future. About The Role: We’re on the look out for a super talented, highly experienced Senior Data Engineer to engage with our data engineering initiatives. In this role, you will be responsible for designing and implementing robust data architectures and pipelines that enhance our ability to derive meaningful insights from our data. You will play a critical role in driving data-driven decision making and will collaborate closely with cross-functional teams to ensure that data is accessible, reliable, and valuable. Key Responsibilities: Lead the design, development, and implementation of high-performance, scalable, and reliable data pipelines and ETL/ELT processes using Azure Data Factory, Databricks, and other Azure data services. Architect and manage data solutions within the Azure ecosystem, including Azure Data Lake Storage, Databricks, Databricks DLT and Streaming and Event Based Architectures. Drive the adoption of best practices for data governance, data quality, data security, and data lineage. Collaborate closely with data scientists, analysts, and other engineering teams to understand data requirements and translate them into technical solutions. Optimise data processing performance and cost efficiency on Azure Databricks, leveraging Spark capabilities effectively. Develop and maintain robust monitoring, alerting, and logging for data pipelines. Mentor and provide technical guidance to junior and mid-level data engineers, fostering a culture of continuous learning and improvement. Evaluate and recommend new data technologies and tools to enhance our data platform capabilities. Contribute to the overall data strategy and roadmap, ensuring alignment with business objectives. Troubleshoot and resolve complex data-related issues in a timely manner. What You'll Bring: Extensive experience as a Data Engineer, with a significant portion in a principal or lead capacity. Deep expertise in Azure data platform services, including: Azure Databricks (extensive hands-on experience with Spark, Python/Scala for real time data processing). Azure Data Factory (maintaining complex data pipelines). Azure Data Lake Storage. Azure SQL Database and/or Azure Synapse Analytics. Strong proficiency in SQL. Exposure to Infrastructure as Code and CICD deployments. Excellent programming skills in Python (Scala is a strong advantage). Proven experience with data modelling, schema design, and data warehousing concepts. Solid understanding of data governance, data quality, and data security principles. Experience with version control systems (e.g., Git). Strong problem-solving abilities and a methodical approach to complex technical challenges. Excellent communication and interpersonal skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders. Proven ability to lead and mentor other engineers. Desirable: Experience with real-time data streaming technologies (e.g., Azure Event Hubs, Kafka). Knowledge of CI/CD pipelines for data solutions. Familiarity with containerisation technologies (e.g., Docker, Kubernetes). Experience with other cloud platforms (AWS, GCP) is a plus. Relevant Microsoft Azure certifications (e.g., Azure Data Engineer Associate) What We Offer: (Offering may vary by location, but we do guarantee competitive employee benefits) Competitive Salary range of £65 - 75,000 per annum Flexible working Generous paid leave Enhance family leave Enjoy your Birthday off - because it's your day! Mental Health Support through our Wellbeing partner, Calm Wellbeing leave and a Mental Health First Aider program Giving back days to help support causes close to your heart Unlimited professional & personal learning Total Rewards including retirement planning, healthcare and life assurance And did we mention our epic team socials? We know how to celebrate in style!

Responsibilities

Design and implement robust data architectures and pipelines to derive meaningful insights from data. Collaborate with cross-functional teams to ensure data accessibility, reliability, and value.